Academic literature on the topic 'Pearson correlation coefficient (r)'
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Journal articles on the topic "Pearson correlation coefficient (r)"
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Popa, Cosmin Octavian, and Adrian Rus. "The Correlation Between Personality Dimensions and Young People's Choice of a Medical Career." Acta Medica Marisiensis 62, no. 4 (December 1, 2016): 395–99. http://dx.doi.org/10.1515/amma-2016-0052.
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AbstractObjective: The research assumes that there is a correlation between personality dimensions Extraversion and Conscientiousness which mean autonomy, ambition and consistency of purpose, self-efficacy and determination for young people who want to aspire to a medical career.Methods: In this study’s target group were included 130 students aspiring to a medical career, that participated in the summer school organized by UMF Tirgu-Mures in 2016, of which 25 (19%) male and 106 (81%) female, average overall age group being 17.23.Results: Within the female group, the Pearson cross-correlation coefficient of Openness and Conscientiousness is r. Pearson (105) = − .20, p <0.05. The Pearson coefficient of cross-correlation between Extraversion and Conscientiousness is = − .20, p <0.05. The Pearson coefficient of cross-correlation between emotional stability and conscientiousness is r. Pearson (105) = .36, p <.001. In the male group, the Pearson cross-correlation coefficient between the Extraversion and Conscientiousness personality dimensions is r. Pearson (N = 25) = −.39 where p <0.05.Conclusions: The Extraversion dimension of personality is a dynamic factor and motivator only when it is correlated with the Conscientiousness personality dimension. This indicates dynamism and autonomy, persistence in achieving goals, ambition, high motivation, interpersonal social intelligence and emotional stability, resulting a personality profile that matches one of the aspirants to a medical career.
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Lee, Juhyun, Andrew Phan, and Jing Gao. "Multiparametric Ultrasound to Assess Adult Carotid Arteries." Journal for Vascular Ultrasound 44, no. 3 (June 1, 2020): 144–49. http://dx.doi.org/10.1177/1544316720927879.
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The aim of the study was to assess the value of multiparametric ultrasound in atherosclerotic cardiovascular disease risk screening of the carotid artery. We performed ultrasonography of carotid arteries in 96 adults in 3 age groups: senior (age ≥65 years, n = 44), middle age (age 45-64 years, n = 31), and young adults (age 20-44 years, n = 21). The senior group was then divided into subgroups: athletes (n = 21) and non-athletes (n = 23). Ultrasound parameters included carotid intima-media thickness, distensibility coefficient, and presence of plaque(s). Statistical analyses included one-way analysis of variance with post hoc to analyze the differences in ultrasound parameters among the age groups; unpaired t-test to examine differences between hypertensive and normotensive participants, between seniors with and without plaque(s), and between senior athletes and non-athletes; Pearson correlation coefficient to analyze correlations of ultrasound parameters to age and blood pressure; and intraclass correlation coefficient to test intra- and inter-observer reliability in performing multiparametric ultrasound. Carotid intima-media thickness and distensibility coefficient significantly differed among the 3 age groups and between athletes and non-athletes ( P < .001). Senior athletes had greater distensibility than non-athletes (all Ps < .05). Carotid intima-media thickness was increased and distensibility was reduced with age and hypertension. Age and blood pressure positively correlated with carotid intima-media thickness (Pearson correlation coefficient, r > .21) and negatively with distensibility coefficient (Pearson correlation coefficient, r < –.48). Inter- and intra-observer reliability in performing multiparametric ultrasound was good (intraclass correlation coefficient, r > .81). Multiparametric ultrasound is a useful tool to assess carotid artery function and morphology comprehensively.
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Kader, Gary, and Christine Franklin. "The Evolution of Pearson's Correlation Coefficient." Mathematics Teacher 102, no. 4 (November 2008): 292–99. http://dx.doi.org/10.5951/mt.102.4.0292.
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Studying the relationship between two quantitative variables is a standard topic in statistics. In high school and introductory college-level statistics, Pearson's correlation coefficient, r, is typically included as a measure of the direction and strength of the linear relationship between two quantitative variables. This article describes an activity that aids an intuitive development of the formula for r and its interpretation. Exploring scatter plots allows students to develop an intermediate measure of association called the quadrant count ratio (QCR), investigate properties of the QCR, and develop Pearson's r to address some of the QCR's shortcomings.
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Kader, Gary, and Christine Franklin. "The Evolution of Pearson's Correlation Coefficient." Mathematics Teacher 102, no. 4 (November 2008): 292–99. http://dx.doi.org/10.5951/mt.102.4.0292.
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Studying the relationship between two quantitative variables is a standard topic in statistics. In high school and introductory college-level statistics, Pearson's correlation coefficient, r, is typically included as a measure of the direction and strength of the linear relationship between two quantitative variables. This article describes an activity that aids an intuitive development of the formula for r and its interpretation. Exploring scatter plots allows students to develop an intermediate measure of association called the quadrant count ratio (QCR), investigate properties of the QCR, and develop Pearson's r to address some of the QCR's shortcomings.
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Wang, X., B. Jiang, and J. S. Liu. "Generalized R-squared for detecting dependence." Biometrika 104, no. 1 (February 22, 2017): 129–39. http://dx.doi.org/10.1093/biomet/asw071.
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SUMMARY Detecting dependence between two random variables is a fundamental problem. Although the Pearson correlation coefficient is effective for capturing linear dependence, it can be entirely powerless for detecting nonlinear and/or heteroscedastic patterns. We introduce a new measure, G-squared, to test whether two univariate random variables are independent and to measure the strength of their relationship. The G-squared statistic is almost identical to the square of the Pearson correlation coefficient, R-squared, for linear relationships with constant error variance, and has the intuitive meaning of the piecewise R-squared between the variables. It is particularly effective in handling nonlinearity and heteroscedastic errors. We propose two estimators of G-squared and show their consistency. Simulations demonstrate that G-squared estimators are among the most powerful test statistics compared with several state-of-the-art methods.
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Ferraro, Mark, Jennifer Hogan Demaio, Jennifer Krol, Chris Trudell, Keren Rannekleiv, Lisa Edelstein, Paul Christos, et al. "Assessing the Motor Status Score: A Scale for the Evaluation of Upper Limb Motor Outcomes in Patients after Stroke." Neurorehabilitation and Neural Repair 16, no. 3 (September 2002): 283–89. http://dx.doi.org/10.1177/154596830201600306.
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The Motor Status Scale (MSS) measures shoulder, elbow (maximum score = 40), wrist, hand, and finger movements (maximum score = 42), and expands the measurement of upper extremity impairment and disability provided by the Fugl-Meyer (FM) score. This work examines the interrater reliability and criterion validity of the MSS performed in patients admitted to a rehabilitation hospital 21 ± 4 days after stroke. Using the MSS and the FM, 7 occupational therapists masked to each other’s judgments, evaluated 12 consecutive patients with stroke. Two therapists evaluated 6 additional patients on consecutive days. Intraclass correlation coefficients were significant for each group of raters for the shoulder/elbow and for the wrist/hand (P < 0.0001); test-retest measures were also significant for the shoulder/elbow (Pearson correlation coefficient r = 0.99, P < 0.004) and for the wrist/hand (Pearson correlation coefficient r = 0.99, P < 0.003). The internal item consistency for the overall MSS was significant (Cronbach alpha = 0.98, P < 0.0001). Finally the correlation between the MSS and the FM (R 2 = 0.964) was significant (P < 0.0001). The MSS affords a reliable and valid assessment of upper limb impairment and disability following stroke.
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Koterov, A., L. Ushenkova, E. Zubenkova, M. Kalinina, A. Biryukov, E. Lastochkina, D. Molodtsova, and A. Vaynson. "Strength of Association. Report 2. Graduations of Correlation Size." Medical Radiology and radiation safety 64, no. 6 (November 10, 2019): 12–24. http://dx.doi.org/10.12737/1024-6177-2019-64-6-12-24.
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Purpose: To summarize data on graduation of the effect size on the base of Hill’s first causality criterion ‘strength of association’ on the magnitude of the correlation coefficient (mainly Pearson r).
Material and methods: Survey of published sources: monographs, handbooks, papers, educational material on statistics in various disciplines (including on-line), etc. (121 references; of which more than 20 textbooks on statistical methods and statistics in psychology and 8 textbooks on epidemiology).
Results: Estimation of the strength of association by the correlation size is most common in psycho-sociological disciplines and is almost never used in epidemiology (since the establishment of a fact of statistically significant association/correlation in epidemiology is only the initial stage of evidence, unlike the experimental and named disciplines). A number of known scales for r were obtained: the Chaddok scale (R.E. Chaddock) from 1925, which is now apparently not used abroad, but widely represented in the countries of the former USSR, the Cohen scale (J. Cohen) from 1969–1988, reflecting the ‘soft’ criteria of causality in psychology, D.E. Hinkle with co-authors scale (1979–2003) and the Evans scale (J.D. Evans) from 1996. A number of other graduations, published in the singular, are also given. A total of at least 16 different scales of varying degrees were collected for the correlation coefficient r (1925–2019). The information about the value of r for correlations, which should be neglected was presented. Depending on the source, this is r <0.1; r <0.2 or r <0.3. The data on the possibility of transferring graduations from the Pearson coefficient r to the Spearman correlation coefficient and other parameters of the effect size are given.
The question of the difference between estimation of strength of association in epidemiology and medicine and in psycho-sociological disciplines is considered. Unlike the second, in epidemiology and medicine a small value of the correlation coefficient does not necessarily mean a small effect size.
Conclusions: To estimate the value of r one should use the most common and officially established scales, with the exception of the strongly ‘soft’ Cohen scale. The present study can be used as a reference guide on the graduations of effect size on r for a wide variety of observation disciplines.
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MASCARENHAS, Jean Márcia Oliveira, Rita de Cássia Ribeiro SILVA, Maria Ester Pereira Conceição MACHADO, Carlos Antonio de Souza Teles SANTOS, Dirce Maria Lobo MARCHIONI, and Maurício Lima BARRETO. "Validation of a food frequency questionnaire designed for adolescents in Salvador, Bahia, Brazil." Revista de Nutrição 29, no. 2 (April 2016): 163–71. http://dx.doi.org/10.1590/1678-98652016000200002.
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Objective: This study assessed the validity of a Food Frequency Questionnaire used to assess food intake in adolescents in Salvador, Bahia, Brazil. Methods: Seventy adolescents enrolled in public schools aged 11 to 17 years participated in this study. The dietary intake of the adolescents was assessed using the Food Frequency Questionnaire and the mean value of three-day food record, used as the reference method. The mean (and standard deviation) energy and nutrient intakes estimated from the Food Frequency Questionnaire and food records were calculated. The paired Student's t test was used to determine differences between the data. Results: Pearson's correlation coefficient and Kappa statistics were used to measure the strength of the association between the two instruments. There was variation in the crude unadjusted (r=0.61-0.73) and deattenuated (r=0.33-0.99) Pearson correlation coefficients. After adjusting for energy, the crude and deattenuated coefficients ranged from r=0.53-0.81 and r=0.27-0.99, respectively. The intake of energy and most nutrients were found to be adequate, except for fiber (r=0.27) and calcium (r=0.33), which showed a weak correlation. Kappa statistics showed good correlation between all values varying from r=0.47 to 0.73. Conclusion: It is considered that an average r value greater than 0.40 indicates a good correlation, the results obtained indicate the good ability of the Food Frequency Questionnaire to assess individuals according to their usual intake of most nutrients.
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Sedhom, Ramy, Betty R. Ferrell, Nora Ruel, Marianna Koczywas, Vincent Chung, and Thomas J. Smith. "Validity of patient-reported outcomes to describe the symptom experience of patients enrolled on phase I clinical trials." Journal of Clinical Oncology 38, no. 15_suppl (May 20, 2020): 12107. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.12107.
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12107 Background: Symptoms are common among patients enrolled in phase I trials. To integrate the patient perspective, the National Cancer Institute developed a patient-reported outcomes version of the CTCAE (PRO-CTCAE) to capture symptomatic adverse events (AEs) directly from patients; however, the tool has not been used often in early phase trials or in palliative care studies. Our overall objective was to assess the validity of PRO-CTCAE items to previously validated assessments of quality of life (FACT-G) and psychological distress (Distress Thermometer). We utilized data from a randomized trial testing a palliative care intervention for patients with cancer enrolled on phase I trials. Methods: Patients (n = 481) were accrued to the parent study prior to initiating a Phase I clinical trial with data collected at baseline, 4, and 12 weeks. We determined the correlation of PRO-CTCAE with Distress Level, FACT-G total and subscale domain scores. Aggregate scores using PRO-CTCAE were calculated to explore the effect of overall symptom frequency, severity, and interference by calculating the total of all scored items classified within each of those domains. We used these metrics to identify associations between this and other validated tools. Results: Patients were predominantly female (56.8%), over age 60, and 30.7% were minority populations. Correlations between PRO-CTCAE items and corresponding FACT-G (total and subscales) and Distress levels reached statistical significance for all items (p < 0.001). Importantly, many of symptoms captured would have been missed using HRQOL assessment tools. Some of these symptoms affected nearly 50% of patients and were frequently rated as severe or very severe. The correlation coefficient for Distress Level for all PRO-CTCAE items was small to moderate (Pearson r = 0.33 to 0.46). Pearson’s correlation coefficient for FACT-G total was moderate ( r = -0.45 to -0.69). Mood items of the PRO-CTCAE had stronger associations (Pearson r > 0.5). PRO-CTCAE symptom interference scores had the strongest correlation with Distress (Pearson r = 0.46) and FACT-G Total (Pearson r = -0.69). Conclusions: Patients entering Phase I trials are willing to report on symptoms they experience as a result of advancing disease and adverse effects from experimental treatment. Evidence demonstrates favorable validity of PRO-CTCAE in a heterogeneous US sample of patients undergoing cancer treatment on phase I trials. The granular assessment of symptomatic AEs may be on increasing importance as we enter a new therapeutic era in oncology. Clinical trial information: NCT01828775 .
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Olufikayo, Aderinlewo, and Ata Grace. "Risk perception factors and their influence on road transportation." Journal of Transport Literature 8, no. 2 (April 2014): 100–112. http://dx.doi.org/10.1590/s2238-10312014000200005.
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This study assesses risk in road transportation in Ekiti State, Nigeria through a number of factors as well as the various ways by which these factors are perceived through Pearson correlation analysis. Six roads were identified as case studies from which information about how the users perceived risk was obtained mainly by administering questionnaires. The responses to the 23 questions which were developed based on the risk factors were analyzed statistically to obtain their relationships in terms of their correlation coefficients and R-squared values. The most dominant risk factors with respect to the roads considered as case studies were identified and the relationships between them were determined. The results showed that the most correlated risk factors are "drinking and driving (DAD)", "using a mobile phone (hands free) and driving (UMP(hf)AD)", "taking medicine and driving (TMAD)" and "using a mobile phone (hands free) and driving (UMP(hf)AD)" with Pearson correlation coefficient of 0.9772 and R-squared value of 0.9549.
Dissertations / Theses on the topic "Pearson correlation coefficient (r)"
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Lima, Leonardo da Silva e. "Centralidades em redes espaciais urbanas e localização de atividades econômicas." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/122524.
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Nos últimos anos, o estudo de propriedades de redes espaciais urbanas conhecidas como centralidades, tem sido utilizado com frequência para descrever fenômenos de ordem sócio-econômica associados à forma da cidade. Autores têm sugerido que centralidades são capazes de descrever a estrutura espacial urbana (KRAFTA, 1994; ANAS et al., 1998) e, portanto através do estudo de centralidades, é possível reconhecer os espaços que mais concentram fluxos, os que possuem os maiores valores de renda da terra, os mais seguros, entre outros aspectos que parecem estar diretamente relacionados com o fenômeno urbano. A hipótese dessa pesquisa admite que centralidades em redes espaciais urbanas desempenham um papel fundamental na formação da estrutura espacial urbana e na maneira como são organizados os usos do solo da cidade. Assim, essa pesquisa investiga qual modelo de centralidade, processado sobre diversas formas de se descrever o espaço urbano na forma de uma rede, é capaz de apresentar resultados mais fortemente correlacionados com a distribuição espacial de atividades econômicas urbanas. Nessa pesquisa são avaliados cinco modelos de centralidade, aplicados sobre diferentes redes espaciais urbanas com a intenção de se verificar qual deles apresenta maior correlação com a ocorrência de atividades econômicas. Para realizar tal exercício, esses modelos são aplicados sobre três tipos de redes espaciais urbanas (axial, nodal e trechos de rua) – oriundas da configuração espacial de três cidades brasileiras – processados de forma geométrica e topológica. Os modelos de centralidade aplicados são conhecidos como centralidade por Alcance (SEVTSUK; 2010), centralidade por Excentricidade (PORTA et al.; 2009, 2011), centralidade por Intermediação (FREEMAN, 1977), centralidade por Intermediação Planar (KRAFTA, 1994) e centralidade por Proximidade (INGRAM, 1971). O coeficiente de correlação Pearson (r) é utilizado como ferramenta capaz de descrever qual modelo de centralidade, associado a qual tipo de representação espacial e qual modo de processamento de distâncias melhor se correlaciona com a distribuição de atividades econômicas urbanas nessas cidades. As evidências encontradas nessa pesquisa sugerem que os modelos de centralidade por Alcance, centralidade por Excentricidade e centralidade por Intermediação Planar destacam-se em comparação com os demais modelos processados. Além disso, os valores de correlação Pearson (r) mais relevantes foram obtidos quando os modelos de centralidade foram processados considerando-se a geometria da rede formada por trechos de rua, indicando que um tipo de representação espacial mais desagregada e processada de forma geométrica seria mais capaz de apresentar os melhores valores de correlação para a compreensão do fenômeno urbano estudado.In recent years, the study of urban spatial networks has been often used to describe urban phenomena associated with the shape of the city. Researches suggested that centralities are able to describe the urban spatial structure (KRAFTA, 1994; ANAS et al., 1998) and then it is possible to recognize the spaces with more flows, which have the highest values of land revenue, the safest, among other aspects related to urban phenomenon. The hypothesis of this research accepts that centrality in urban spatial networks play a key role for the urban spatial structure and the way of land uses is organized. Thus, there would be some measures of centrality in urban spatial networks that would be more associated with economic activities occurring in the city. The research will evaluate five measures of centrality applied on three types of urban spatial networks (axial map, node map and segment map). Therefore we will use five models of centrality in urban spatial networks known as reach (SEVTSUK, MEKONNEN, 2012), straightness (PORTA et al., 2006b), betweenness (FREEMAN, 1977), planar betweenness (KRAFTA, 1994) and closeness (INGRAM, 1971) in order to determine which this most highly correlated with the occurrence of economic activities. The relationships between these measures of centrality and locations of economic activities are examined in three Brazilian cities, using as methodology the Pearson correlation coefficient (r). The highest correlation between the results of centrality in urban spatial networks and the location of economic activities will suggest which centrality measure, way of to describe urban space like a network and distance processing method (euclidian or topologic) is more associated with the occurrence of these activities in the city. The results indicate that Reach, Straightness and Planar Betweenness are most outstanding models of centrality. In addition, Pearson correlation coefficients (r) most relevant were obtained when models of centrality are processed considering euclidian paths in the street segments network, suggesting that this type of spatial network and distances processing method generates centralities with more significant correlation values within the urban phenomenon studied.
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Le, Trang Thi, Doan Dang Phan, Bao Dang Khoa Huynh, Van Tho Le, and Van Tu Nguyen. "Phytoplankton diversity and its relation to the physicochemical parameters in main water bodies of Vinh Long province, Vietnam." Technische Universität Dresden, 2019. https://tud.qucosa.de/id/qucosa%3A70829.
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Phytoplankton samples were collected in 2016 during the dry and rainy seasons at nine sampling sites in Vinh Long province, Vietnam. Some basic environment parameters such as temperature, pH, dissolved oxygen, nitrate and phosphate were measured and a total of 209 phytoplankton species (six phyla, 96 genera) were identified. The phylum that had the greatest number of species was Bacillariophyta (82 species), followed by Chlorophyta (61 species), Cyanophyta (39 species), Euglenophyta (21 species), Chrysophyta (three species) and Dinophyta (three3 species). The phytoplankton density ranged from 4,128 to 123,029 cells/liter. The dominant algae recorded in the study area include Microcystis aeruginosa, Merismopedia glauca, Oscillatoria perornata, Jaaginema sp., Planktothrix agardhii, Coscinodiscus subtilis, Melosira granulata. In particular, Microcystis aeruginosa was the most density dominant species in the total number of sampling sites during the dry season survey, and this species was classified as a group producing toxins harmful to the environment. Surface water quality, according to QCVN 08: 2015/BTNMT was classified into Column A1 for pH, nitrate and Column B1 for dissolved oxygen, and Column B2 for phosphate. Phytoplankton community structure and environmental factors changed substantially between dry and rainy seasons. A Pearson (r) correlation coefficient was used for the relative analysis. The results indicated that the number of phytoplankton species were a significantly positive correlation with pH, dissolved oxygen and nitrate in the rainy season. The phytoplankton abundance was uncorrelated with environmental factors in both seasons.Các mẫu thực vật phù du được thu thập trong năm 2016 (mùa khô và mùa mưa) tại 9 vị trí ở tỉnh Vĩnh Long, Việt Nam. Một số thông số môi trường như nhiệt độ, pH, oxy hòa tan, nitrat và phốt phát được đo ngay tại hiện trường. Tổng cộng 209 loài thực vật phù du được ghi nhận (6 ngành, 96 chi). Số lượng loài cao nhất là tảo Silic (82 loài), kế đến là tảo Lục (61 loài), tảo Lam (39 loài), tảo Mắt (21 loài), tảo Vàng ánh (3 loài) và tảo Giáp (3 loài). Mật độ thực vật phù du dao động từ 4.128 đến 123.029 tế bào/ lít. Các loài ưu thế ghi nhận được ở khu vực nghiên cứu gồm có: Microcystis aeruginosa, Merismopedia glauca, Oscillatoria perornata, Jaaginema sp., Planktothrix agardhii; Coscinodiscus subtilis, Melosira granulata. Trong đó, loài Microcystis aeruginosa chiếm ưu thế nhiều nhất trên tổng số điểm thu mẫu trong đợt khảo sát mùa khô, đồng thời loài này được xếp vào nhóm sản sinh độc tố gây hại cho môi trường. Chất lượng nước mặt theo QCVN 08:2015/BTNMT được xếp vào loại A1 đối với thông số pH, nitrat và loại B1 đối với thông số oxy hòa tan, và loại B2 đối với phốt phát. Cấu trúc quần xã thực vât nổi và các yếu tố môi trường thay đổi đáng kể giữa mùa mưa và mừa khô. Hệ số tương quan Pearson (r) được dùng để phân tích. Kết quả cho thấy số lượng thực vật phù du có tương quan thuận với pH, oxy hòa tan và nitrat trong mùa mưa và có ý nghĩa về mặt thống kê. Mật độ của thực vật phù du không tương quan với các yếu tố môi trường trong cả hai mùa.
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Kalaitzis, Angelos. "Bitcoin - Monero analysis: Pearson and Spearman correlation coefficients of cryptocurrencies." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-41402.
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In this thesis, an analysis of Bitcoin, Monero price and volatility is conducted with respect to S&P500 and the VIX index. Moreover using Python, we computed correlation coefficients of nine cryptocurrencies with two different approaches: Pearson and Spearman from July 2016 -July 2018. Moreover the Pearson correlation coefficient was computed for each year from July2016 - July 2017 - July 2018. It has been concluded that in 2016 the correlation between the selected cryptocurrencies was very weak - almost none, but in 2017 the correlation increased and became moderate positive. In 2018, almost all of the cryptocurrencies were highly correlated. For example, from January until July of 2018, the Bitcoin - Monero correlation was 0.86 and Bitcoin - Ethereum was 0.82.
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Bergamaschi, Denise Pimentel. "Correlação intraclasse de Pearson para pares repetidos: comparação entre dois estimadores." Universidade de São Paulo, 1999. http://www.teses.usp.br/teses/disponiveis/6/6132/tde-01102014-105050/.
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Objetivo. Comparar, teórica e empiricamente, dois estimadores do coeficiente de correlação intraclasse momento-produto de Pearson para pares repetidos Pi. O primeiro é o estimador \"natural\", obtido mediante a correlação momento-produto de Pearson para membros de uma mesma classe (rI) e o segundo, obtido como função de componentes de variância (icc). Métodos. Comparação teórica e empírica dos parâmetros e estimadores. A comparação teórica envolve duas definições do coeficiente de correlação intraclasse PI como medida de confiabilidade (*), para o caso de duas réplicas, assim como uma apresentação da técnica de análise de variância e a definição e interpretação dos estimadores ri e icc. A comparação empírica é realizada mediante um estudo de simulação Monte Carlo com a geração de pares de valores correlacionados segundo o coeficiente de correlação intraclasse, momento-produto de Pearson para pares repetidos. Os pares de valores são distribuídos segundo uma distribuição Normal bivariada, com valores do tamanho da amostra e da correlação intraclasse previamente fixados em: n= 15, 30 e 45 e pI = {O; 0,15; 0,30; 0,45; 0,60; 0,75; 0,9}. Resultados. Comparando-se o vício e o erro quadrático médio dos estimadores, bem como as amplitudes dos intervalos de confiança, tem-se como resultado que o vício de icc foi sempre menor que o vício de rI, mesmo ocorrendo com o erro quadrático médio. Conclusões. O icc é um estimador melhor, principalmente para n pequeno (por exemplo 15). Para valores maiores de n (30 ou mais), os estimadores produzem resultados iguais até a segunda casa decimal.Objective. This thesis presents and compares, theoretically and empirically, two estimators of the intraclass correlation coefficient pI, defined as Pearson\'s pairwise intraclass correlation coefficient. The first is the \"natural\" estimator, obtained by Pearson\'s moment-product correlation for members of one class (rI) while the second was obtained as a function of components of variance (icc). Methods. Theoretical and empirical comparison of the parameters and estimators are performed. The theoretical comparison involves two definitions of the intrac1ass correlation coefficient pI as a measure of reliability (*) for two repeated measurements in the same class and the presentation of the technique of analysis of variance, as well as for the definition and interpretation of the estimators ri and icc. The empirical comparison was carried out by means of a Monte Carlo simulation study of pairs of correlated values according Pearson\'s pairwise correlation. The pairs of values follow a normal bivariate distribution, with correlation values and sample size previously fixed: n= 15, 30 e 45 and Pl = . Results. Bias and mean square error for the estimators were compared as well as the range of the intervals of confidence. The comparison shows that the bias of icc is always smaller than of rI This also applies to the mean square error. Conclusions. The icc is a better estimator, especially for n less than or equal to 15. For larger samples sízes (n 30 or more), the estimators produce results that are equal to the second decimal place. (*) Fórmula
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Truong, Thi Kim Tien. "Grandes déviations précises pour des statistiques de test." Thesis, Orléans, 2018. http://www.theses.fr/2018ORLE2057/document.
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Cette thèse concerne l’étude de grandes déviations précises pour deux statistiques de test:le coefficient de corrélation empirique de Pearson et la statistique de Moran.Les deux premiers chapitres sont consacrés à des rappels sur les grandes déviations précises et sur la méthode de Laplace qui seront utilisés par la suite. Par la suite, nous étudions les grandes déviations précises pour des coefficients de Pearson empiriques qui sont définis par:$r_n=\sum_{i=1}^n(X_i-\bar X_n)(Y_i-\bar Y_n)/\sqrt{\sum_{i=1}(X_i-\bar X_n)^2 \sum_{i=1}(Y_i-\bar Y_n)^2}$ ou, quand les espérances sont connues, $\tilde r_n=\sum_{i=1}^n(X_i-\mathbb E(X))(Y_i-\mathbb E(Y))/\sqrt{\sum_{i=1}(X_i-\mathbb E(X))^2 \sum_{i=1}(Y_i-\mathbb E(Y))^2} \, .$. Notre cadre est celui d’échantillons (Xi, Yi) ayant une distribution sphérique ou une distribution gaussienne. Dans chaque cas, le schéma de preuve suit celui de Bercu et al.Par la suite, nous considérons la statistique de Moran $T_n=\frac{1}{n}\sum_{k=1}^n\log\frac{X_i}{\bar X_n}+\gamma \, ,$o\`u $\gamma$, où γ est la constante d’ Euler. Enfin l’appendice est consacré aux preuves de résultats techniquesThis thesis focuses on the study of Sharp large deviations (SLD) for two test statistics:the Pearson’s empirical correlation coefficient and the Moran statistic.The two first chapters aim to recall general results on SLD principles and Laplace’s methodsused in the sequel. Then we study the SLD of empirical Pearson coefficients, name $r_n=\sum_{i=1}^n(X_i-\bar X_n)(Y_i-\bar Y_n)/\sqrt{\sum_{i=1}(X_i-\bar X_n)^2 \sum_{i=1}(Y_i-\bar Y_n)^2}$ and when the meansare known,$\tilde r_n=\sum_{i=1}^n(X_i-\mathbb E(X))(Y_i-\mathbb E(Y))/\sqrt{\sum_{i=1}(X_i-\mathbb E(X))^2 \sum_{i=1}(Y_i-\mathbb E(Y))^2} \, .$ .Our framework takes place in two cases of random sample (Xi, Yi): spherical distributionand Gaussian distribution. In each case, we follow the scheme of Bercu et al. Next, westate SLD for the Moran statistic $T_n=\frac{1}{n}\sum_{k=1}^n\log\frac{X_i}{\bar X_n}+\gamma \, ,$o\`u $\gamma$ , where γ is the Euler constant.Finally the appendix is devoted to some technical results
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Johansson, Emilia. "Factors controlling the sorption of Cs, Ni and U in soil : A statistical analysis with experimental sorption data of caesium, nickel and uranium in soils from the Laxemar area." Thesis, KTH, Hållbar utveckling, miljövetenskap och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281938.
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In the fall of 2006, soils from three small valleys in the Laxemar/Oskarshamn area were sampled. A total of eight composite samples were characterized for a number of soil parameters that are important for geochemical sorption and were later also used in batch sorption experiments. Solid/liquid partition coefficients (Kd values) were then determined for seven radionuclides in each of the eight samples. To contribute to the interpretation of the sorption results together with the soil characterizations, this study aims to describe the sorption behavior of the radionuclides caesium, nickel and uranium and also discern which parameters that could provide a basis for estimating the strength of sorption of radionuclides in general. The methodology included quantitative methodologies such as compilation of chemical equilibrium diagrams by the software Hydra/Medusa and correlation analyses using the statistical software SPSS statistics. Based on the speciation diagrams of each radionuclide and identified important linear and non-linear relationships of the Kd values with a number of soil parameters, the following soil- and soil solution properties were found to have controlled the sorption of Cs, Ni and U, respectively, in the Laxemar soils. Cs: the specific surface area of the soil coupled to the clay content. Ni: the cation exchange capacity, alkaline solution pH, soil organic matter and dissolved organic matter. U: the cation exchange capacity, soil organic matter, dissolved organic matter, dissolved carbonate and alkaline solution pH. The soil that showed the strongest sorption varied between the nuclides, which can be related to the individual sorption behavior of caesium, nickel and uranium, as well as the different physicochemical properties of the soils. The parameters that should be prioritized in characterizations of soil samples are identified to be: solution pH, the cation exchange capacity, the specific surface area of the soil, soil organic matter and soil texture (clay content).För att kunna fatta beslut relaterade till hypotetisk framtida kontaminering från slutförvar av radioaktivt avfall är det direkt avgörande att förstå mobiliteten av radioaktiva element i miljön. Sorption är en av de viktigaste kemiska mekanismerna som kan minska spridningen av radionuklider i vatten/jord/bergssystem, där nukliderna fördelar sig mellan vätskefasen och ytor på fasta partiklar i dessa system. Fördelningskoefficienter (Kd värden) används generellt som ett kvantitativt mått på sorptionen, där ett högt Kd värde innebär att en större andel av ämnet i fråga är bundet till den fasta fasen. Under hösten 2006 togs jordprover från tre dalgångar i Laxemar/Oskarshamn. Totalt åtta jordprover karakteriserades för ett antal jordparametrar som är viktiga för geokemisk sorption och användes senare i batchförsök tillsammans med ett naturligt grundvatten. Fördelningskoefficienter (Kd värden) bestämdes för sju radionuklider (Cs, Eu, I, Ni, Np, Sr and U) för vart och ett av de åtta jordproverna. För att bidra till tolkningen av sorptionsresultaten tillsammans med jordprovernas egenskaper syftar denna studie till att beskriva sorptionsbeteendet hos radionukliderna caesium, nickel och uran samt urskilja vilka parametrar som kan fungera som grund för att uppskatta sorptionsstyrkan av radionuklider i allmänhet. För att uppnå detta syfte så har studien följande mål. Identifiera de jord- och marklösningsegenskaper som kontrollerar sorptionen av Cs, Ni respektive U i de åtta Laxemar proverna. Bestämma vilket Laxemar-jordprov som starkast sorberar de tre radionukliderna. Identifiera de jordparametrar som bör prioriteras vid jordkarakteriseringar, baserat på deras sorptionsinflytande, för att kunna uppskatta Kd värden endast med begränsad information om ett jordsystem. Metoden innefattade kvantitativa metoder såsom sammanställning av kemiska jämviktsdiagram med programvaran Hydra/Medusa och korrelationsanalyser med hjälp av statistikprogramvaran SPSS statistics. De kemiska jämviktsdiagrammen bidrog till att beskriva specieringen av respektive nuklid som en funktion av pH och korrelationsanalyserna bidrog till att identifiera linjära samband mellan par av variabler, tex mellan Kd och jordparametrar. Baserat på specieringsdiagrammen för varje radionuklid och identifierade viktiga linjära och icke-linjära förhållanden mellan Kd-värdena och ett antal jordparametrar har följande egenskaper hos jordarna och marklösningen visat sig huvudsakligen kontrollera sorptionen av Cs, Ni respektive U i de åtta Laxemar jordarna: För caesium gäller jordens specifika ytarea kopplad till lerinnehållet, medan för nickel är det katjonbytarkapaciteten, organiskt material, alkaliska pH-värden samt löst organiskt material. Sorptionen av uran befanns kontrolleras av katjonbytarkapaciteten, organiskt material, löst organiskt material, alkaliska pH-värden samt lösta karbonater. Den jord som visade starkast sorption varierar mellan de tre nukliderna, vilket kan relateras till nuklidernas individuella sorptionsbeteende i jord samt jordarnas olika fysikaliska och kemiska egenskaper. Parametrarna som bör prioriteras vid karaktärisering av jordprov identifierades vara: pH, katjonbytarkapaciteten, jordens specifika ytarea, mängden organiskt material samt jordtexturen (lerinnehåll).
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Venter, Philip van Zyl. "A supercritical R-744 heat transfer simulation implementing various Nusselt number correlations / Philip van Zyl Venter." Thesis, North-West University, 2010. http://hdl.handle.net/10394/4234.
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During the past decade research has shown that global warming may have disastrous effects on our planet. In order to limit the damage that the human race seems to be causing, it was acknowledged that substances with a high global warming potential (GWP) should be phased out. In due time, R-134a with a GWP = 1300, may probably be phased out to make way for nature friendly refrigerants with a lower GWP. One of these contenders is carbon dioxide, R-744, with a GWP = 1.
Literature revealed that various Nusselt number (Nu) correlations have been developed to predict the convection heat transfer coefficients of supercritical R-744 in cooling. No proof could be found that any of the reported correlations accurately predict Nusselt numbers (Nus) and the subsequent convection heat transfer coefficients of supercritical R-744 in cooling.
Although there exist a number of Nu correlations that may be used for R-744, eight different correlations were chosen to be compared in a theoretical simulation program forming the first part of this study. A water-to-transcritical R-744 tube-in-tube heat exchanger was simulated. Although the results emphasise the importance of finding a more suitable Nu correlation for cooling supercritical R-744, no explicit conclusions could be made regarding the accuracy of any of the correlations used in this study.
For the second part of this study experimental data found in literature were used to evaluate the accuracy of the different correlations. Convection heat transfer coefficients, temperatures, pressures and tube diameter were employed for the calculation of experimental Nusselt numbers (Nuexp). The theoretical Nu and Nuexp were then plotted against the length of the heat exchanger for different pressures. It was observed that both Nuexp and Nu increase progressively to a maximal value and then decline as the tube length increases. From these results it were possible to group correlations according to the general patterns of their Nu variation over the tube length.
Graphs of Nuexp against Nus, calculated according to the Gnielinski correlation, generally followed a linear regression, with R2 > 0.9, when the temperature is equal or above the pseudocritical temperature. From this data a new correlation, Correlation I, based on average gradients and intersects, was formulated. Then a modification on the Haaland friction factor was used with the Gnielinski correlation to yield a second correlation, namely Correlation II. A third and more advanced correlation, Correlation III, was then formulated by employing graphs where gradients and y-intercepts were plotted against pressure. From this data a new parameter, namely the turning point pressure ratio of cooling supercritical R-744, was defined. It was concluded that the employed Nu correlations under predict Nu values (a minimum of 0.3% and a maximum of 81.6%). However, two of the correlations constantly over predicted Nus at greater tube lengths, i.e. below pseudocritical temperatures. It was also concluded that Correlation III proved to be more accurate than both Correlations I and II, as well as the existing correlations found in the literature and employed in this study. Correlation III Nus for cooling supercritical R-744 may only be valid for a diameter in the order of the experimental diameter of 7.73 mm, temperatures that are equal or above the pseudocritical temperature and at pressures ranging from 7.5 to 8.8 MPa.Thesis (M.Ing. (Mechanical Engineering))--North-West University, Potchefstroom Campus, 2010.
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Kasianenko, Stanislav. "Predicting Software Defectiveness by Mining Software Repositories." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78729.
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One of the important aims of the continuous software development process is to localize and remove all existing program bugs as fast as possible. Such goal is highly related to software engineering and defectiveness estimation. Many big companies started to store source code in software repositories as the later grew in popularity. These repositories usually include static source code as well as detailed data for defects in software units. This allows analyzing all the data without interrupting programing process. The main problem of large, complex software is impossibility to control everything manually while the price of the error can be very high. This might result in developers missing defects on testing stage and increase of maintenance cost. The general research goal is to find a way of predicting future software defectiveness with high precision. Reducing maintenance and development costs will contribute to reduce the time-to-market and increase software quality. To address the problem of estimating residual defects an approach was found to predict residual defectiveness of a software by the means of machine learning. For a prime machine learning algorithm, a regression decision tree was chosen as a simple and reliable solution. Data for this tree is extracted from static source code repository and divided into two parts: software metrics and defect data. Software metrics are formed from static code and defect data is extracted from reported issues in the repository. In addition to already reported bugs, they are augmented with unreported bugs found on “discussions” section in repository and parsed by a natural language processor. Metrics were filtered to remove ones, that were not related to defect data by applying correlation algorithm. Remaining metrics were weighted to use the most correlated combination as a training set for the decision tree. As a result, built decision tree model allows to forecast defectiveness with 89% chance for the particular product. This experiment was conducted using GitHub repository on a Java project and predicted number of possible bugs in a single file (Java class). The experiment resulted in designed method for predicting possible defectiveness from a static code of a single big (more than 1000 files) software version.
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Fernandes, Catarina Marques. "Liderança de empoderamento e trabalho digno." Master's thesis, Universidade de Évora, 2018. http://hdl.handle.net/10174/24511.
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O conceito de trabalho digno foi legitimado pela Organização Internacional do Trabalho em 1999, procurando dar resposta a questões no âmbito das políticas internacionais relacionadas com o trabalho. Devido às recentes mudanças no contexto organizacional, a liderança de empoderamento tem adquirido destaque na investigação e na prática. O objetivo do presente estudo é analisar a relação entre o trabalho digno e a liderança de empoderamento e de que forma as dimensões dos dois conceitos se associam. Os dados foram recolhidos através de dois questionários, o Decent Work Questionnaire e o Empowering Leadership Questionnaire, aplicados a 901 trabalhadores portugueses. Os dados foram analisados através do coeficiente de correlação de Pearson, cujos resultados indicaram que as correlações no geral são elevadas e que a dimensão Princípios e valores fundamentais no trabalho do trabalho digno e as dimensões Participação na tomada de decisão, Coaching e Demonstração de preocupação/interação com a equipa pertencentes à liderança de empoderamento são as que apresentam as correlações mais elevadas. Estes resultados demonstram a associação entre trabalho digno e a liderança de empoderamento, sugerindo que são conceitos com forte relação, embora distintos entre si;Empowering Leardership and Decent Work
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The concept of decent work was legitimized by the International Labor Organization in 1999, seeking to address issues in international labor-related policies. Due to recent changes in the organizational context, empowering leadership has gained prominence in research and practice. The aim of the present study is to analyze the relationship between decent work and empowering leadership and how the dimensions of the two concepts are associated. Data were collected through two questionnaires, the Decent Work Questionnaire and the Empowering Leadership Questionnaire, applied to 901 Portuguese workers. The data were analyzed using Pearson's correlation coefficient, whose results indicated that the correlations are generally high and that the dimension Principles and fundamental values in decent work work and the dimensions Participation in decision making, Coaching and Demonstration of concern / interaction with the team belonging to the empowering leadership are those with the highest correlations. These results demonstrate the association between decent work and empowering leadership, suggesting that these concepts are strongly related, although different from each other.
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Siqueira, Lucas Alfredo. "Titulador automático baseado em filmes digitais para determinação de dureza e alcalinidade total em águas minerais/Titulador automático baseado em filmes digitais para determinação de dureza e alcalinidade total em águas minerais." Universidade Federal da Paraíba, 2016. http://tede.biblioteca.ufpb.br:8080/handle/tede/9013.
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Total hardness and Total alkalinity are important physico-chemical parameters for the evaluation of water quality and are determined by volumetric analytical methods. These methods have difficult to detect the endpoint of the titration due to the difficult of viewing the color transition inherent to each of them. To circumvent this problem, here is proposed a new automatic method for the detection of the titration end point for the determination of total hardness and total alkalinity in mineral water samples. The proposed flow-batch titrator consists of a peristaltic pump, five three-way solenoid valves, a magnetic stirrer, an electronic actuator, an Arduino MEGA 2560TM board, a mixing chamber and a webcam. The webcam records the digital movie (DM) during the addition of the titrant towards mixing chamber, also recording the color variations resulting from chemical reactions between titrant and sample within chamber. While the DM is recorded, it is decompiled into frames ordered sequentially at a constant rate of 30 frames per second (FPS). The first frame is used as a reference to define the region of interest (RI) of 48 × 50 pixels and the R channel values, which are used to calculate the Pearson's correlation coefficient (r) values. r is calculated between the R values of the initial frame and each subsequent frame. The titration curves are plotted in real time using the values of r (ordinate axis) and the total opening time of the valve titrant (abscissa axis). The end point is estimated by the second derivative method. A software written in ActionScript 3.0 language manages all analytical steps and data treatment in real time. The feasibility of the method was attested by its application for the analysis of natural water samples. Results were compared with classical titration and did not present statistically significant differences when the paired ttest at the 95% confidence level was applied. The proposed method is able to process about 71 samples per hour, and its precision was confirmed by overall relative standard deviation (RSD) values, always lower than the 2,4% for total hardness and 1,4% for total alkalinity.
A dureza total e a alcalinidade total são importantes parâmetros físico-químicos para avaliação da qualidade de águas e são determinados por métodos volumétricos de análise. Estes métodos apresentam difícil detecção do ponto final da titulação devido à dificuldade de visualização das transições de cores inerentes a cada um deles. Para contornar este problema, foi proposta neste trabalho uma nova metodologia automática para a detecção do ponto final nas determinações de dureza total e alcalinidade total em águas. O titulador em fluxo-batelada proposto é composto de uma bomba peristáltica, cinco válvulas solenoides de três vias, um agitador magnético, um acionador de válvulas, uma placa Arduíno MEGA 2560TM, uma câmara de mistura e uma webcam. O programa de gerenciamento e controle do titulador foi escrito em linguagem ActionScript 3.0. A webcam grava o filme digital durante a adição do titulante na câmara de mistura, registrando as variações de cor decorrentes das reações químicas entre titulante e amostra no interior de câmara. Enquanto o filme é gravado, este é decomposto em quadros ordenados sequencialmente a uma taxa constante de 30 quadros por segundo (FPS). O primeiro quadro é utilizado como referência para definir uma região de interesse (RI) com 48 x 50 pixels, na qual seus valores R, G e B são utilizados para calcular os valores de coeficiente de correlação de Pearson (r). O valor de r é calculado entre os valores de R do quadro inicial e de cada quadro subsequente. As curvas de titulação são obtidas em tempo real usando os valores de r (ordenadas) e o tempo total de abertura da válvula de titulante (abscissas). O ponto final é estimado pelo método de segunda derivada. O método foi aplicado na análise de águas minerais e os resultados foram comparados com a titulação clássica, não apresentando diferenças estatisticamente significativas com aplicação do teste t pareado a 95% de confiança. O método proposto foi capaz de processar até 71 amostras por hora e a sua precisão foi confirmada pelos valores de desvio padrão relativos (DPR) globais, sempre inferiores as 2,4% para dureza total e 1,4% para alcalinidade total.
Books on the topic "Pearson correlation coefficient (r)"
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Streiner, David L., Geoffrey R. Norman, and John Cairney. Reliability. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199685219.003.0008.
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This chapter reviews the basic theory of reliability, and examines the relation between reliability and measurement error. It derives the standard form of reliability, the intraclass correlation or ICC, from repeated measures ANOVA. The chapter explores issues in the application of the reliability coefficient, including absolute versus relative reliability, the reliability of multiple observations, and the standard error of measurement. It examines several other measures of reliability—Cohen’s kappa, Pearson r, and the method of Altman and Bland—and derives the relation between them and the ICC. The chapter determines the variance of a reliability estimate. It also calculates sample size estimates for reliability studies, and methods to combine reliability estimates in systematic reviews.
Book chapters on the topic "Pearson correlation coefficient (r)"
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Yockey, Ronald D. "The Pearson r Correlation Coefficient." In SPSS® Demystified, 156–63. Third edition. | New York, NY : Routledge, 2017.: Routledge, 2018. http://dx.doi.org/10.4324/9781315268545-14.
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Patten, Mildred L., and Michelle Newhart. "The Pearson Correlation Coefficient (r)." In Understanding Research Methods, 231–35. Tenth edition. | New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315213033-75.
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Gooch, Jan W. "Pearson Correlation Coefficient." In Encyclopedic Dictionary of Polymers, 990. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15317.
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Benesty, Jacob, Jingdong Chen, Yiteng Huang, and Israel Cohen. "Pearson Correlation Coefficient." In Noise Reduction in Speech Processing, 1–4. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00296-0_5.
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Wang, Jiguang. "Pearson Correlation Coefficient." In Encyclopedia of Systems Biology, 1671. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_372.
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Nahler, Gerhard. "Pearson correlation coefficient." In Dictionary of Pharmaceutical Medicine, 132. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_1025.
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Brysbaert, Marc. "Improving predictions through the Pearson correlation coefficient." In Basic Statistics for Psychologists, 261–97. London: Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-0-230-34592-8_11.
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MacFarland, Thomas W., and Jan M. Yates. "Spearman’s Rank-Difference Coefficient of Correlation." In Introduction to Nonparametric Statistics for the Biological Sciences Using R, 249–97. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30634-6_8.
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Jolicoeur, Pierre. "The bivariate normal distribution and the correlation coefficient, r." In Introduction to Biometry, 134–49. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4777-8_20.
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Saidi, Rania, Waad Bouaguel, and Nadia Essoussi. "Hybrid Feature Selection Method Based on the Genetic Algorithm and Pearson Correlation Coefficient." In Machine Learning Paradigms: Theory and Application, 3–24. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02357-7_1.
Full textConference papers on the topic "Pearson correlation coefficient (r)"
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Liu, Jing, Yong Zhang, and Qinjun Zhao. "Adaptive ViBe Algorithm Based on Pearson Correlation Coefficient." In 2019 Chinese Automation Congress (CAC). IEEE, 2019. http://dx.doi.org/10.1109/cac48633.2019.8997209.
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Liu, Jing, Yong Zhang, and Qinjun Zhao. "Video stabilization algorithm based on Pearson correlation coefficient." In 2019 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2019. http://dx.doi.org/10.1109/icamechs.2019.8861649.
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Vijapur, Nataraj A., and R. Srinivasa Rao Kunte. "Glaucoma detection by using Pearson-R correlation filter." In 2015 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2015. http://dx.doi.org/10.1109/iccsp.2015.7322695.
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Pathak, Soumi. "Changing trends in coagulation profile of 30 patients undergoing CRS with HIPEC in the peri-operative period." In 16th Annual International Conference RGCON. Thieme Medical and Scientific Publishers Private Ltd., 2016. http://dx.doi.org/10.1055/s-0039-1685386.
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Background: With advent of surgical advancements like HIPEC several unstudied pathophysiological aspects need to be evaluated. We studied the trends in coagulation profile in patients undergoing CRS with HIPEC in the peri-operative period, utilizing Thromboelastography (TEG) in comparison with standard coagulation tests. The utility of TEG as a guide for transfusion of blood products was also evaluated. Materials and Methods: It was a Prospective observational Cohort study which included 30 consecutive patients undergoing CRS with HIPEC at RGCI in 2015. Methodology: Preoperatively standard coagulation tests were done as a baseline. Intra-operative arterial blood samples were collected for ABG, PT, APTT, and TEG at following time points: before starting of HIPEC, after completion of HIPEC and on 1 and 2 postoperative days. Statistical analysis was done using Chi-square test and unpaired t-test for categorical and continuous variables. Pearson’s correlation coefficient was calculated for analysing the correlation between the variables. P < 0.05 was considered statistically significant. Results: A strong correlation was observed between PT & R values of TEG. Similar correlation was also observed between the α angle, MA of TEG and platelet count throughout the peri-operative period. Immediately post HIPEC, we observe value of APPT decreases while the other parameters of coagulation profile showed a rising trend. R value showed rising trend after CRS, a dip after HIPEC followed by a rising trend on first post operative day which normalizes only after second post operative day. It gives a mixed picture of both hypo and hyper coagulable state. α angle, MA rise immediately after HIPEC and continue to rise till the second postoperative day. There was no requirement of transfusion of blood and blood products as guided by the TEG findings and no clinical evidence of any bleeding or thromboembolic episode occurred. Conclusion: To conclude, our study demonstrated TEG to be a useful and comprehensive tool to assess coagulopathy and accordingly guide blood product transfusion in patients undergoing CRS with HIPEC.
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Mujahid, Adnan K. R., and Chandrasegar Thirumalai. "Pearson Correlation Coefficient Analysis (PCCA) on Adenoma carcinoma cancer." In 2017 International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2017. http://dx.doi.org/10.1109/icoei.2017.8300976.
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"Fuzzy-weighted Pearson Correlation Coefficient for Collaborative Recommender Systems." In 15th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004412404090414.
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Logoglu, K. Berker, and Tugrul K. Ates. "Speeding-up Pearson Correlation Coefficient calculation on graphical processing units." In 2010 IEEE 18th Signal Processing and Communications Applications Conference (SIU). IEEE, 2010. http://dx.doi.org/10.1109/siu.2010.5654411.
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Kundrata, Jurica, Daisuke Fujimoto, Yuichi Hayashi, and Adrijan Baric. "Comparison of Pearson correlation coefficient and distance correlation in Correlation Power Analysis on Digital Multiplier." In 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO). IEEE, 2020. http://dx.doi.org/10.23919/mipro48935.2020.9245325.
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Reggiani, Enrico, Eleonora D'Arnese, Andrea Purgato, and Marco D. Santambrogio. "Pearson Correlation Coefficient Acceleration for Modeling and Mapping of Neural Interconnections." In 2017 IEEE International Parallel and Distributed Processing Symposium: Workshops (IPDPSW). IEEE, 2017. http://dx.doi.org/10.1109/ipdpsw.2017.63.
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Elssaedi, Mosbah Mohamed, Omar M. Salih, and Aziza Ahmeed. "Optimizing selection using Pearson correlation coefficient: A case study in movie industry." In INTERNATIONAL CONFERENCE ON KEY ENABLING TECHNOLOGIES (KEYTECH 2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5123689.
Full textReports on the topic "Pearson correlation coefficient (r)"
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Duvvuri, Sarvani, and Srinivas S. Pulugurtha. Researching Relationships between Truck Travel Time Performance Measures and On-Network and Off-Network Characteristics. Mineta Transportation Institute, July 2021. http://dx.doi.org/10.31979/mti.2021.1946.
Full textAbstract:
Trucks serve significant amount of freight tonnage and are more susceptible to complex interactions with other vehicles in a traffic stream. While traffic congestion continues to be a significant ‘highway’ problem, delays in truck travel result in loss of revenue to the trucking companies. There is a significant research on the traffic congestion mitigation, but a very few studies focused on data exclusive to trucks. This research is aimed at a regional-level analysis of truck travel time data to identify roads for improving mobility and reducing congestion for truck traffic. The objectives of the research are to compute and evaluate the truck travel time performance measures (by time of the day and day of the week) and use selected truck travel time performance measures to examine their correlation with on-network and off-network characteristics. Truck travel time data for the year 2019 were obtained and processed at the link level for Mecklenburg County, Wake County, and Buncombe County, NC. Various truck travel time performance measures were computed by time of the day and day of the week. Pearson correlation coefficient analysis was performed to select the average travel time (ATT), planning time index (PTI), travel time index (TTI), and buffer time index (BTI) for further analysis. On-network characteristics such as the speed limit, reference speed, annual average daily traffic (AADT), and the number of through lanes were extracted for each link. Similarly, off-network characteristics such as land use and demographic data in the near vicinity of each selected link were captured using 0.25 miles and 0.50 miles as buffer widths. The relationships between the selected truck travel time performance measures and on-network and off-network characteristics were then analyzed using Pearson correlation coefficient analysis. The results indicate that urban areas, high-volume roads, and principal arterial roads are positively correlated with the truck travel time performance measures. Further, the presence of agricultural, light commercial, heavy commercial, light industrial, single-family residential, multi-family residential, office, transportation, and medical land uses increase the truck travel time performance measures (decrease the operational performance). The methodological approach and findings can be used in identifying potential areas to serve as truck priority zones and for planning decentralized delivery locations.