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Journal articles on the topic 'Coefficient de correlation de Pearson'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2025

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1

Rahman, Mezbahur, and Qichao Zhang. "COMPARISON AMONG PEARSON CORRELATION COEFFICIENT TESTS." Far East Journal of Mathematical Sciences (FJMS) 99, no. 2 (2015): 237–55. http://dx.doi.org/10.17654/ms099020237.

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2

Zinzendoff Okwonu, Friday, Bolaji Laro Asaju, and Festus Irimisose Arunaye. "Breakdown Analysis of Pearson Correlation Coefficient and Robust Correlation Methods." IOP Conference Series: Materials Science and Engineering 917 (September 22, 2020): 012065. http://dx.doi.org/10.1088/1757-899x/917/1/012065.

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3

Šverko, Zoran, Miroslav Vrankić, Saša Vlahinić, and Peter Rogelj. "Complex Pearson Correlation Coefficient for EEG Connectivity Analysis." Sensors 22, no. 4 (2022): 1477. http://dx.doi.org/10.3390/s22041477.

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In the background of all human thinking—acting and reacting are sets of connections between different neurons or groups of neurons. We studied and evaluated these connections using electroencephalography (EEG) brain signals. In this paper, we propose the use of the complex Pearson correlation coefficient (CPCC), which provides information on connectivity with and without consideration of the volume conduction effect. Although the Pearson correlation coefficient is a widely accepted measure of the statistical relationships between random variables and the relationships between signals, it is no

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4

苏, 拥英. "A New Robust Estimation Method of Pearson Correlation Coefficient." Advances in Applied Mathematics 13, no. 10 (2024): 4591–600. http://dx.doi.org/10.12677/aam.2024.1310440.

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5

H.O., Etaga, Okoro I., Aforka K.F., and Ngonadi L.O. "Methods of Estimating Correlation Coefficients in the Presence of Influential Outlier(s)." African Journal of Mathematics and Statistics Studies 4, no. 3 (2021): 157–85. http://dx.doi.org/10.52589/ajmss-llnzxuoz.

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Correlation methods are indispensable in the study of the linear relationship between two variables. However, many researchers often adopt inappropriate correlation methods in the study of linear relationships which usually leads to unreliable results. Recurrently, most researchers ignorantly employ the Pearson method in a dataset that contained outliers, instead of more appropriate correlation methods such as Spearman, Kendall Tau, Median and Quadrant which might be suitable in the calculation of correlation coefficient in the presence of influential outliers. It is noted that the accuracy of

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6

Adler, Jeremy, and Ingela Parmryd. "Quantifying colocalization by correlation: The Pearson correlation coefficient is superior to the Mander's overlap coefficient." Cytometry Part A 77A, no. 8 (2010): 733–42. http://dx.doi.org/10.1002/cyto.a.20896.

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7

Bommisetty, Reddy Mounika, Om Prakash, and Ashish Khare. "Keyframe extraction using Pearson correlation coefficient and color moments." Multimedia Systems 26, no. 3 (2019): 267–99. http://dx.doi.org/10.1007/s00530-019-00642-8.

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8

Zhu, Hongwei, Xiaoming You, and Sheng Liu. "Multiple Ant Colony Optimization Based on Pearson Correlation Coefficient." IEEE Access 7 (2019): 61628–38. http://dx.doi.org/10.1109/access.2019.2915673.

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9

Atoum, Issa. "Scaled Pearson’s Correlation Coefficient for Evaluating Text Similarity Measures." Modern Applied Science 13, no. 10 (2019): 26. http://dx.doi.org/10.5539/mas.v13n10p26.

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Despite the ever-increasing interest in the field of text similarity methods, the development of adequate text similarity methods is lagging. Some methods are decent in entailment while others are reasonable to the degree to which two texts are similar. Very often, these methods are compared using Pearson&rsquo;s correlation; however, Pearson&rsquo;s correlation is bound to outliers that could affect the final correlation coefficient figure. As a result, the Pearson correlation is inadequate to find which text similarity method is better in situations where data items are very similar

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10

Shan, Guogen, Hua Zhang, and Tao Jiang. "Correlation Coefficients for a Study with Repeated Measures." Computational and Mathematical Methods in Medicine 2020 (March 26, 2020): 1–11. http://dx.doi.org/10.1155/2020/7398324.

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Repeated measures are increasingly collected in a study to investigate the trajectory of measures over time. One of the first research questions is to determine the correlation between two measures. The following five methods for correlation calculation are compared: (1) Pearson correlation; (2) correlation of subject means; (3) partial correlation for subject effect; (4) partial correlation for visit effect; and (5) a mixed model approach. Pearson correlation coefficient is traditionally used in a cross-sectional study. Pearson correlation is close to the correlations computed from mixed-effe

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11

Sedgwick, P. "Pearson's correlation coefficient." BMJ 345, jul04 1 (2012): e4483-e4483. http://dx.doi.org/10.1136/bmj.e4483.

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12

Li Shuo, 李硕, 韩迎东 Han Yingdong, 王双 Wang Shuang, 刘琨 Liu Kun, 江俊峰 Jiang Junfeng, and 刘铁根 Liu Tiegen. "Algorithm for Eliminating Mismatched Points Based on Pearson Correlation Coefficient." Laser & Optoelectronics Progress 58, no. 8 (2021): 0810025. http://dx.doi.org/10.3788/lop202158.0810025.

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13

Furman, Edward, and Ričardas Zitikis. "BEYOND THE PEARSON CORRELATION: HEAVY-TAILED RISKS, WEIGHTED GINI CORRELATIONS, AND A GINI-TYPE WEIGHTED INSURANCE PRICING MODEL." ASTIN Bulletin 47, no. 3 (2017): 919–42. http://dx.doi.org/10.1017/asb.2017.20.

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AbstractGini-type correlation coefficients have become increasingly important in a variety of research areas, including economics, insurance and finance, where modelling with heavy-tailed distributions is of pivotal importance. In such situations, naturally, the classical Pearson correlation coefficient is of little use. On the other hand, it has been observed that when light-tailed situations are of interest, and hence when both the Gini-type and Pearson correlation coefficients are well defined and finite, these coefficients are related and sometimes even coincide. In general, understanding

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14

Rahutomo, Faisal, Dimas Rossiawan Hendra Putra, M. Bisri Musthofa, and Ngat Mari. "Indonesia Democracy Index (IDI) Forecasting in 2019 using Moving Average and Correlation Between IDI's Aspect Using Pearson Correlation Coefficient." Journal of Electrical, Electronic, Information, and Communication Technology 2, no. 2 (2020): 36. http://dx.doi.org/10.20961/jeeict.2.2.41361.

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<p class="Abstract"><em>Abstract</em>—This experiment aims to analyze the forecasting of the Indonesian Democracy Index (IDI) in 2019, which uses each province data by the Moving Average method. The parameters used in this experiment refer to data obtained from the Central Statistics Agency (BPS) in 2009-2018. The level of achievement of IDI is measured based on the development and implementation of 3 aspects, 11 variables, and 28 indicators. Experiment purposes to find the average percentage of absolute error MAPE (Mean Absolute Percentage Error) for each province and looks

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15

CASTRO SOTOS, ANA ELISA, STIJN VANHOOF, WIM VAN DEN NOORTGATE, and PATRICK ONGHENA. "THE TRANSITIVITY MISCONCEPTION OF PEARSON’S CORRELATION COEFFICIENT." STATISTICS EDUCATION RESEARCH JOURNAL 8, no. 2 (2009): 33–55. http://dx.doi.org/10.52041/serj.v8i2.394.

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Despite the relevance of correlational studies for most research domains, many students, teachers, and researchers alike hold misconceptions concerning the Pearson product-moment correlation coefficient. One of these, the transitivity misconception, has not yet been documented in a systematic way. This paper summarizes the first empirical study, using 279 university students, and examines the relationship between student-based and task-based factors and the appearance of this misconception. In particular, two task-based factors seemed to have a significant effect on its appearance. In addition

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16

Lee, Eon-Bee, Syed Al Jawad Sayem, Ga-Yeong Lee, Tae-Won Kim, Md Akil Hossain, and Seung-Chun Park. "Assessment of Plasma Tylosin Concentrations: A Comparative Study of Immunoassay, Microbiological Assay, and Liquid Chromatography/Mass Spectrometry." Antibiotics 12, no. 6 (2023): 1023. http://dx.doi.org/10.3390/antibiotics12061023.

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Employing affordable and uncomplicated sample preparation techniques to recommend the most efficient antibacterial therapy could help reduce antibiotic-resistant bacteria. This study evaluated the suitability of immunoassays and microbiological assays as alternatives for liquid chromatography/mass spectrometry (LC/MS) in determining plasma tylosin concentrations after intramuscular administration at a dose of 20 mg/kg to both healthy and diseased pigs in clinical veterinary practice. The diseased pigs were confirmed using the target genes Actinobacillus pleuropneumoniae (apxIVA) and Pasteurell

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17

Chiaralazzo, Monica Innanda, Emmeria Tarihoran, and Darianto Darianto. "IRINGAN ORGANIS DAN PENGHAYATAN IMAN UMAT DALAM PERAYAAN EKARISTI." JPAK: Jurnal Pendidikan Agama Katolik 24, no. 1 (2024): 51–58. http://dx.doi.org/10.34150/jpak.v24i1.499.

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This study aims to demonstrate the significance of the organist's role in enhancing the faith experience of the congregation during the celebration of the Eucharist. The research was conducted at the Church of St. John the Baptist in Malang using a quantitative approach. Data collection used a research instrument in the form of a questionnaire whose validity had been tested using Aiken's V and was declared reliable based on the Alpha Cronbach formula. Data collection techniques are carried out by utilizing the Google Form. The research respondents were 307 Catholics. Data were analyzed using p

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18

Liu, An-Nuo, Lu-Lu Wang, Hui-Ping Li, Juan Gong, and Xiao-Hong Liu. "Correlation Between Posttraumatic Growth and Posttraumatic Stress Disorder Symptoms Based on Pearson Correlation Coefficient." Journal of Nervous and Mental Disease 205, no. 5 (2017): 380–89. http://dx.doi.org/10.1097/nmd.0000000000000605.

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19

Goldstein, Miriam D., and Michael J. Strube. "Understanding Correlations: Two Computer Exercises." Teaching of Psychology 22, no. 3 (1995): 205–6. http://dx.doi.org/10.1207/s15328023top2203_14.

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This article describes two QuickBASIC programs that provide students direct experience with interpreting correlation scatterplots. In one program, students estimate the size of the correlation in nine randomly generated scatterplots and receive feedback about accuracy. In the second program, students plot correlations of a certain size or type (e.g., curvilinear) and receive feedback about the size of the Pearson correlation coefficient in their plots. Other features of the program include automatic truncation of range and the addition or deletion of data points to a previously prepared scatte

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20

Prion, Susan, and Katie Anne Haerling. "Making Sense of Methods and Measurement: Pearson Product-Moment Correlation Coefficient." Clinical Simulation in Nursing 10, no. 11 (2014): 587–88. http://dx.doi.org/10.1016/j.ecns.2014.07.010.

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21

Benesty, J., Jingdong Chen, and Yiteng Huang. "On the Importance of the Pearson Correlation Coefficient in Noise Reduction." IEEE Transactions on Audio, Speech, and Language Processing 16, no. 4 (2008): 757–65. http://dx.doi.org/10.1109/tasl.2008.919072.

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22

Masha, Luke, James Stone, Danielle Stone, Jun Zhang, and Luo Sheng. "Pulmonary Catherization Data Correlate Poorly with Renal Function in Heart Failure." Cardiorenal Medicine 8, no. 3 (2018): 183–91. http://dx.doi.org/10.1159/000487203.

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Background: The mechanisms of renal dysfunction in heart failure are poorly understood. We chose to explore the relationship of cardiac filling pressures and cardiac index (CI) in relation to renal dysfunction in advanced heart failure. Objectives: To determine the relationship between renal function and cardiac filling pressures using the United Network of Organ Sharing (UNOS) pulmonary artery catherization registry. Methods: Patients over the age of 18 years who were listed for single-organ heart transplantation were included. Exclusion criteria included a history of mechanical circulatory s

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23

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 (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 c

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24

Lee, Duan-Shin, Cheng-Shang Chang, and Hao-Neng Chang. "Analyses of the Clustering Coefficient and the Pearson Degree Correlation Coefficient of Chung's Duplication Model." IEEE Transactions on Network Science and Engineering 3, no. 3 (2016): 117–31. http://dx.doi.org/10.1109/tnse.2016.2586848.

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25

Luo, Dandan, Shouzhen Zeng, and Ji Chen. "A Probabilistic Linguistic Multiple Attribute Decision Making Based on a New Correlation Coefficient Method and its Application in Hospital Assessment." Mathematics 8, no. 3 (2020): 340. http://dx.doi.org/10.3390/math8030340.

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The probabilistic linguistic term set (PLTS) is a newly emerging mathematical tool for handling uncertainties. It is considered a useful extension of linguistic term sets associated with probability information and can improve the effectiveness of multiple attribute decision making (MADM). This paper proposes a new PLTS correlation coefficient and addresses its usefulness in MADM problems. For achieving this aim, some new concepts of mean, variance, and covariance of the PLTS are first proposed. Moreover, a novel PLTS Pearson correlation coefficient is defined to overcome the shortcomings of t

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26

L Suresh, P., and Kalidindi Narayana Raju. "Study of Test for Significance of Pearson's Correlation Coefficient." International Journal of Science and Research (IJSR) 11, no. 10 (2022): 164–66. http://dx.doi.org/10.21275/sr22915140002.

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27

Yu, Wen-Kai, Xu-Ri Yao, Xue-Feng Liu, Long-Zhen Li, and Guang-Jie Zhai. "Ghost imaging based on Pearson correlation coefficients." Chinese Physics B 24, no. 5 (2015): 054203. http://dx.doi.org/10.1088/1674-1056/24/5/054203.

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28

Shieh, Gwowen. "Improved procedures and computer programs for equivalence assessment of correlation coefficients." PLOS ONE 16, no. 5 (2021): e0252323. http://dx.doi.org/10.1371/journal.pone.0252323.

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The correlation coefficient is the most commonly used measure for summarizing the magnitude and direction of linear relationship between two response variables. Considerable literature has been devoted to the inference procedures for significance tests and confidence intervals of correlations. However, the essential problem of evaluating correlation equivalence has not been adequately examined. For the purpose of expanding the usefulness of correlational techniques, this article focuses on the Pearson product-moment correlation coefficient and the Fisher’s z transformation for developing equiv

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29

Pan, Zhongfeng, Daming Xu, Yibo Zhang, et al. "New energy transmission line fault location method based on Pearson correlation coefficient." Journal of Physics: Conference Series 2717, no. 1 (2024): 012007. http://dx.doi.org/10.1088/1742-6596/2717/1/012007.

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Abstract The access of new energy power source makes the traditional transmission line structure become complex, and due to the influence of power electronic device control strategy, the fault characteristics have been fundamentally changed, resulting in the traditional transmission line fault localization method can not be applied to the new energy sending line. To address the above problems, this paper analyzes the transient current characteristics of different power supply faults, and learns that there are obvious differences in the transient currents on both sides of the fault point inside

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30

Gao, Chang, and Sihua Wang. "Flexible DC transmission line fault type identification scheme based on Pearson correlation coefficient." Journal of Physics: Conference Series 2846, no. 1 (2024): 012002. http://dx.doi.org/10.1088/1742-6596/2846/1/012002.

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Abstract Faults occurring on the DC side of the line are very harmful to the MMC-MTDC system, and with the popularization of flexible DC transmission technology based on overhead lines, how to discriminate the type of fault is the difficulty of MTDC DC line protection. This paper gives a fault kind identification approach based totally on the Pearson correlation coefficient, which discriminates the fault kind with the aid of calculating the Pearson correlation coefficient of the line voltage at each pole after the fault.

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31

Saadalov, T., R. Myrzaibraimov, and Zh Abdullaeva. "Calculating Procedure for the Correlation Coefficient of Fechner and Pearson and Their Application Areas." Bulletin of Science and Practice 7, no. 10 (2021): 270–76. http://dx.doi.org/10.33619/2414-2948/71/31.

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Research relevance in this article is shown in tabular form the calculation of correlation between fixed assets and the volume of commercial products. Using the properties of average values, Pearson’s formula was changed, which made it possible to simplify the calculation methodology. The aim of the research is to study and analyze the correlation coefficient of the mathematical and statistical indicator, the relationship between factorial and effective indicators that are found in the socio-economic life of society. Research purpose is to study and analyze the correlation coefficient of the m

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32

Śleszyński, Zbigniew. "The basics of determining the coefficients of a linear correlation." Wiadomości Statystyczne. The Polish Statistician 65, no. 6 (2020): 69–87. http://dx.doi.org/10.5604/01.3001.0014.2347.

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The aim of the paper is to present the basic measures related to the analysis of relationships between quantitative variables used in econometric modelling and their selected applications. The following measures are discussed: the Pearson correlation coefficient, the multivariate correlation coefficient, coefficient of determination, partial correlation coefficient and semi-partial correlation coefficient. A homogeneous approach is applied to the measures presented. Each is defined as a linear correlation coefficient of relevant vectors derived from regression equations. Additionally, mutual r

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33

Sampaio, Nilo Antônio S., Felipe Cury Mazza, Sílvio Sérgio Silveira de Siqueira, João Ercio Miranda Junior, João Victor de Souza Moutinho, and Lucas de Oliveira Pacífico. "Applications of Correlation Analysis in Environmental Problems." Revista de Gestão Social e Ambiental 18, no. 3 (2024): e04925. http://dx.doi.org/10.24857/rgsa.v18n3-085.

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Objective: The aim of this work is to show the application of the Correlation Coefficient (Pearson, Spearman) to environmental problems. Theoretical framework: Although the concepts of correlation and regression are intimately related, they are nevertheless different. Correlation may be described as the degree of association between two variables, whereas regression expresses the form of the relationship between specified values of one (the independent, exogenous, explanatory, regressor, carrier or predictor) variable and the means of all corresponding values of the second (the dependent, outc

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34

Ghasemi, Hadi, Reza Darmohammadi, Mahshid Namdari, and Zahra Ghorbani. "Oral health outcomes and shift working among male workers: A cross-sectional survey." PLOS ONE 17, no. 10 (2022): e0275924. http://dx.doi.org/10.1371/journal.pone.0275924.

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Working time outside routine daily working hours is known as shift working. Studies have shown adverse effects of shift working such as stress, obesity, and diabetes on the workers’ health. The aim of the present study was to compare aspects of oral health in shift workers and non-shift workers of a cement factory in Shahroud, Iran. Study population comprised of 180 male workers of the factory in the year 2015. Convenience sampling was continued until recruiting 180 subjects of shift- and non-shift workers. Data collection included oral health questionnaire, health and safety executive (HSE) q

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35

Munandar, Tb A., S. Sumiati, and V. Rosalina. "Pattern of symptom correlation on type of heart disease using approach of pearson correlation coefficient." IOP Conference Series: Materials Science and Engineering 830 (May 19, 2020): 022086. http://dx.doi.org/10.1088/1757-899x/830/2/022086.

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36

Qin, Limu, Gang Yang, and Qi Sun. "Maximum correlation Pearson correlation coefficient deconvolution and its application in fault diagnosis of rolling bearings." Measurement 205 (December 2022): 112162. http://dx.doi.org/10.1016/j.measurement.2022.112162.

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37

MOON, BYUNG YOUNG, SOO YOUNG KIM, and GYUNG JU KANG. "INITIAL SHIP DESIGN USING A PEARSON CORRELATION COEFFICIENT AND ARTIFICIAL INTELLIGENCE TECHNIQUES." International Journal of Modern Physics B 22, no. 09n11 (2008): 1801–6. http://dx.doi.org/10.1142/s0217979208047444.

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In this paper we analyzed correlation between geometrical character and resistance, and effective horse power by using Pearson correlation coefficient which is one of the data mining methods. Also we made input data to ship's geometrical character which has strong correlation with output data. We calculated effective horse power and resistance by using Neuro-Fuzzy system. To verify the calculation, 9 of 11 container ships' data were improved as data of Neuro-Fuzzy system and the others were improved as verification data. After analyzing rate of error between existing data and calculation data,

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38

Lee, Juhyun, Andrew Phan, and Jing Gao. "Multiparametric Ultrasound to Assess Adult Carotid Arteries." Journal for Vascular Ultrasound 44, no. 3 (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 a

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39

Rajakumari, D. "PEARSON CORRELATION COEFFICIENT K-NEAREST NEIGHBOR OUTLIER CLASSIFICATION ON REAL-TIME DATASETS." ICTACT Journal on Soft Computing 10, no. 2 (2020): 2045–53. http://dx.doi.org/10.21917/ijsc.2020.0290.

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40

Chang, Ying, Dexing Yang, and Yuning Guo. "Laser ultrasonic damage detection in coating-substrate structure via Pearson correlation coefficient." Surface and Coatings Technology 353 (November 2018): 339–45. http://dx.doi.org/10.1016/j.surfcoat.2018.09.005.

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41

Feng, Wanli, Quanyin Zhu, Jun Zhuang, and Shimin Yu. "An expert recommendation algorithm based on Pearson correlation coefficient and FP-growth." Cluster Computing 22, S3 (2018): 7401–12. http://dx.doi.org/10.1007/s10586-017-1576-y.

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42

Zeng, Wei, Fei Wang, Lili Miao, Fang You, and Feiyan Yao. "Laser ultrasonic melanoma detection in human skin tissues via Pearson correlation coefficient." Optik 222 (November 2020): 165478. http://dx.doi.org/10.1016/j.ijleo.2020.165478.

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43

Liu, Yaqing, Yong Mu, Keyu Chen, Yiming Li, and Jinghuan Guo. "Daily Activity Feature Selection in Smart Homes Based on Pearson Correlation Coefficient." Neural Processing Letters 51, no. 2 (2020): 1771–87. http://dx.doi.org/10.1007/s11063-019-10185-8.

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44

Zhou, Haomiao, Zhihong Deng, Yuanqing Xia, and Mengyin Fu. "A new sampling method in particle filter based on Pearson correlation coefficient." Neurocomputing 216 (December 2016): 208–15. http://dx.doi.org/10.1016/j.neucom.2016.07.036.

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45

Tsagkanos, Athanasios. "Minimisation of bias of Pearson correlation coefficient in presence of coincidental outliers." International Journal of Computational Economics and Econometrics 8, no. 1 (2018): 121. http://dx.doi.org/10.1504/ijcee.2018.088308.

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Tsagkanos, Athanasios. "Minimisation of bias of Pearson correlation coefficient in presence of coincidental outliers." International Journal of Computational Economics and Econometrics 8, no. 1 (2018): 121. http://dx.doi.org/10.1504/ijcee.2018.10007871.

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47

Layeb, Abdesslem. "Novel Feature Selection Algorithms Based on Crowding Distance and Pearson Correlation Coefficient." International Journal of Intelligent Systems and Applications 15, no. 2 (2023): 37–42. http://dx.doi.org/10.5815/ijisa.2023.02.04.

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Feature Selection is an important phase in classification models. Feature Selection is an effective task used to decrease the dimensionality and eliminate redundant and unrelated features. In this paper, three novel algorithms for feature selection problem are proposed. The first one is a filter method, the second one is a wrapper method, and the last one is a hybrid filter method. Both the proposed algorithms use the crowding distance used in the multiobjective optimization as a new metric to assess the importance of the features. The idea behind the use of the crowding distance is that the l

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48

Liu, Xiaolin, and Yuyang Qi. "Supplier Score Model Based on Pearson Correlation Coefficient and Entropy Weighting Method." Journal of Education, Humanities and Social Sciences 24 (December 31, 2023): 874–80. http://dx.doi.org/10.54097/6d2x1n98.

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For the problem of ordering and transportation of raw materials in production enterprises, a comprehensive score of supplier supply characteristics is established based on the entropy value method, and a mathematical model reflecting the importance of guaranteeing the production of enterprises is established. Firstly, based on the raw material suppliers' supply data, we get the better 60 suppliers according to the total supply; secondly, secondly, based on the supply and ordering data, we excavate the indexes to measure the supply characteristics of each supplier, and carry out the Pearson cor

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49

Azimi, Mahdi, Seyed Amir Reza Hosseinipour Rafsanjani, and Mona Torkaman. "The effect of education and sporting experience of iranian premier league football players on their awareness of sports law." Revista Tempos e Espaços em Educação 13, no. 32 (2020): 1–15. http://dx.doi.org/10.20952/revtee.v13i32.14924.

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The purpose of this study was to investigate the relationship between education and athletic background of Premier League football players on their awareness of sports Law. In this study, descriptive-analytical method and Spearman correlation coefficient were used. Ninety-five percent level was used as the criterion for rejecting the hypothesis. Questionnaires about variables were used to identify the sample group and the main questions about players' legal awareness were used for data collection. The results showed that Pearson correlation coefficient was 0.107, Spearman correlation coefficie

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Zulfa, Mulki Indana, Sri Maryani, Ardiansyah Ardiansyah, Triyanna Widiyaningtyas, and Waleed Ali Ali. "Application Level Caching Approach Based on Enhanced Aging Factor and Pearson Correlation Coefficient." JOIV : International Journal on Informatics Visualization 8, no. 1 (2024): 31. http://dx.doi.org/10.62527/joiv.8.1.2143.

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Abstract:

Relational database management systems (RDBMS) have long served as the fundamental infrastructure for web applications. Relatively slow access speeds characterize an RDBMS because its data is stored on a disk. This RDBMS weakness can be overcome using an in-memory database (IMDB). Each query result can be stored in the IMDB to accelerate future access. However, due to the limited capacity of the server cache in the IMDB, an appropriate data priority assessment mechanism needs to be developed. This paper presents a similar cache framework that considers four data vectors, namely the data size,

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