Bibliografías temáticas / Spearman's correlation

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Literatura académica sobre el tema "Spearman's correlation"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 14 de febrero de 2022

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Artículos de revistas sobre el tema "Spearman's correlation"

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Chambers, Ll G. "73.52 Spearman's Rank Correlation Coefficient". Mathematical Gazette 73, n.º 466 (diciembre de 1989): 331. http://dx.doi.org/10.2307/3619313.

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Carroll, John B. "On Spearman's “problem of correlation”". Behavioral and Brain Sciences 8, n.º 1 (marzo de 1985): 7. http://dx.doi.org/10.1017/s0140525x00019233.

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Burghes, David N. "Teaching Spearman's Rank Correlation Coefficient". Teaching Statistics 15, n.º 3 (septiembre de 1993): 68–69. http://dx.doi.org/10.1111/j.1467-9639.1993.tb00658.x.

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Lovie, A. D. "Who discovered Spearman's rank correlation?" British Journal of Mathematical and Statistical Psychology 48, n.º 2 (noviembre de 1995): 255–69. http://dx.doi.org/10.1111/j.2044-8317.1995.tb01063.x.

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FUEDA, Kaoru. "SPEARMAN'S RANK CORRELATION TYPE TWO-SAMPLE TEST". Memoirs of the Faculty of Science, Kyusyu University. Series A, Mathematics 47, n.º 1 (1993): 27–39. http://dx.doi.org/10.2206/kyushumfs.47.27.

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Ramsey, Philip H. "Critical Values for Spearman's Rank Order Correlation". Journal of Educational Statistics 14, n.º 3 (1989): 245. http://dx.doi.org/10.2307/1165017.

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Gauthier, T. "Detecting Trends Using Spearman's Rank Correlation Coefficient". Environmental Forensics 2, n.º 4 (diciembre de 2001): 359–62. http://dx.doi.org/10.1006/enfo.2001.0061.

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Gautheir, Thomas D. "Detecting Trends Using Spearman's Rank Correlation Coefficient". Environmental Forensics 2, n.º 4 (enero de 2001): 359–62. http://dx.doi.org/10.1080/713848278.

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Hauke, Jan y Tomasz Kossowski. "Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data". Quaestiones Geographicae 30, n.º 2 (1 de junio de 2011): 87–93. http://dx.doi.org/10.2478/v10117-011-0021-1.

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Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data Spearman's rank correlation coefficient is a nonparametric (distribution-free) rank statistic proposed by Charles Spearman as a measure of the strength of an association between two variables. It is a measure of a monotone association that is used when the distribution of data makes Pearson's correlation coefficient undesirable or misleading. Spearman's coefficient is not a measure of the linear relationship between two variables, as some "statisticians" declare. It assesses how well an arbitrary monotonic function can describe a relationship between two variables, without making any assumptions about the frequency distribution of the variables. Unlike Pearson's product-moment correlation coefficient, it does not require the assumption that the relationship between the variables is linear, nor does it require the variables to be measured on interval scales; it can be used for variables measured at the ordinal level. The idea of the paper is to compare the values of Pearson's product-moment correlation coefficient and Spearman's rank correlation coefficient as well as their statistical significance for different sets of data (original - for Pearson's coefficient, and ranked data for Spearman's coefficient) describing regional indices of socio-economic development.
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Rebekić, Andrijana, Zdenko Lončarić, Sonja Petrović y Sonja Marić. "PEARSON'S OR SPEARMAN'S CORRELATION COEFFICIENT - WHICH ONE TO USE?" Poljoprivreda 21, n.º 2 (20 de diciembre de 2015): 47–54. http://dx.doi.org/10.18047/poljo.21.2.8.

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Tesis sobre el tema "Spearman's correlation"

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Twagirumukiza, Etienne. "Analysis of Faculty Evaluation by Students as a Reliable Measure of Faculty Teaching Performance". Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/105.

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Most American universities and colleges require students to provide faculty evaluation at end of each academic term, as a way of measuring faculty teaching performance. Although some analysts think that this kind of evaluation does not necessarily provide a good measurement of teaching effectiveness, there is a growing agreement in the academic world about its reliability. This study attempts to find any strong statistical evidence supporting faculty evaluation by students as a measure of faculty teaching effectiveness. Emphasis will be on analyzing relationships between instructor ratings by students and corresponding students’ grades. Various statistical methods are applied to analyze a sample of real data and derive conclusions. Methods considered include multivariate statistical analysis, principal component analysis, Pearson's correlation coefficient, Spearman's and Kendall’s rank correlation coefficients, linear and logistic regression analysis.
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Tabosa, Mayra Cinara de Oliveira. "A correlação entre a cultura, gestão do conhecimento e a sustentabilidade nas organizações". Universidade Federal da Paraíba, 2017. http://tede.biblioteca.ufpb.br:8080/handle/tede/9667.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
The present master thesis’ goal is to evaluate the correlations between the Organization Culture, Knowledge Management – KM, and Sustainability in organizations. Therefore, the methodology applied in this study was the analysis of correlation using the Spearman’s Correlation Test in six companies of different branches, featuring a multi-case study, being also applied in one of the companies individually for a case study. The research instrument used was a questionnaire composed of 26 questions based on three themes: Edgar Schein’s cultural typology (artifacts, values and basic assumptions), Barclay and Murray’s model of Knowledge Management (mechanistic, cultural, and systematic), and the Elkington’s Triple Bottom Line (social, environmental, and economic). The results show a Correlation Matrix which distributes the relations in six scenarios, individually analyzed, both in the multi-case study, as in the case study. They were: 1. Organization Culture- Organizational Culture; 2. Knowledge Management – Knowledge Management; 3. Sustainability – Sustainability; 4. Organizational Culture – Sustainability; 5. Knowledge Management – Sustainability; 6. Organization Culture – Knowledge Management. On scenario 1 it was verified that the collaborators perception when the culture is on the first two dimensions of the model, artifacts and values. The scenario 2 called the attention to the absence of a management model knowledge-oriented. The scenario 3 stands out because of the correlation between items from the environmental and social dimensions and the difficulty of involvement with the economic dimension. The majority of weak correlations marked scenario 4, with pairs involving items from the culture model and the items of the environmental and social dimensions of sustainability. Scenario 5 also highlighted a large number of weak correlations explained by the absence of a knowledge management model within organizations that works together with sustainable measures. Lastly, the scenario 6 presented inferior correlation compared to the others, once the pairs of weak relations obtained the minimum level of the allowed range, what mean very close to the null correlations that were also highlighted, fact explained by the superficiality of the knowledge of the culture and absence of a KM model. On the other hand, by the case study it was concluded that for Scenario 1 there is a correlation between the items of the organizational culture highlighting the good perception of employees regarding the culture in which they are inserted, but not in an in-depth way. In Scenario 2, there was no correlation between the items of Knowledge Management, highlighting the absence of a knowledge-driven management, because the Environmental Management System manages the organization. In Scenario 3 it was presented correlations on sustainability, highlighting the environmental and social dimensions as strengths. Finally, Scenario 6 also found no relationship between the items, highlighting the absence of a KM model and the perception of culture focused on the visible characteristics (furniture, architecture, and equipment) and the employees’ behavior. In general, the results of the case and multi-case study showed that the correlations between Organizational Culture, Knowledge Management and Sustainability are lower in number and type than expected. Also highlighting the existence of points in each theme that, when working in organizations, may improve the results of these correlations.
A pressente dissertação tem como objetivo avaliar as correlações entre a Cultura Organizacional, a Gestão do Conhecimento - GC e a Sustentabilidade nas organizações. Para tanto a metodologia adotada estudo foi uma análise de correlação utilizando o Teste de Correlação de Spearman em seis empresas de ramos distintos, caracterizando um estudo multicaso, sendo também aplicado em uma das organizações de forma individual para um estudo de caso. O instrumento de pesquisa utilizado foi um questionário composto por 26 questões baseadas em três construtos: a tipologia cultural de Edgar Schein (artefatos, valores e pressupostos básicos), o modelo de Gestão do Conhecimento de Barclay e Murray (mecanicista, cultural e sistemática), e o Triple Botton Line de Elkington (social, ambiental e econômico). Os resultados apresentaram uma Matriz de Correlação que distribuiu as relações em seis cenários analisados individualmente, tanto no estudo multicaso, como no estudo de caso, foram eles: 1. Cultura Organizacional – Cultura Organizacional; 2. Gestão do Conhecimento – Gestão do Conhecimento; 3. Sustentabilidade – Sustentabilidade; 4. Cultura Organizacional – Sustentabilidade; 5. Gestão do Conhecimento – Sustentabilidade; 6. Cultura Organizacional – Gestão do Conhecimento. No Cenário 1 foi verificado que a percepção dos colaboradores quando a cultura se encontra nas duas primeiras dimensões do modelo, os artefatos e valores. O Cenário 2 chamou atenção para a ausência de um modelo de gestão voltado para o conhecimento. No cenário 3 destacou-se pela correlação entre os itens da dimensão ambiental e social e pela dificuldade de envolvimento com a dimensão econômica. O Cenário 4 foi marcado pela maioria de correlações fracas com pares envolvendo itens do modelo de cultura e os itens das dimensões ambiental e social da sustentabilidade. O Cenário 5 também destacou grande número de correlações fracas explicado pela ausência de um modelo de gestão do conhecimento dentro das organizações que trabalhe junto com as medidas sustentáveis. Por fim, o Cenário 6 apresentou correlações inferiores aos demais, uma vez que os pares de relações fracas obtiveram o nível mínimo do intervalo permitido, ou seja, bem próximos às correlações nulas que também foram destaque, fato explicado pela superficialidade do conhecimento da cultura e ausência de um modelo de GC. Já pelo estudo de caso, concluiu-se que para o Cenário 1 existe correlação entre os itens da cultura organizacional destacando a boa percepção dos colaboradores quanto à cultura em estão inseridos, mas não de forma aprofundada. O Cenário 2 não apresentou correlações entre os itens da Gestão do Conhecimento, destacando a ausência de uma gestão voltada para o conhecimento, pois a organização é gerida pelo Sistema de Gestão Ambiental. O Cenário 3 apresentaram correlações quanto à sustentabilidade, destacando as dimensões ambiental e social como pontos fortes. O Cenário 4 destacou a existência de relações entre a cultura e a sustentabilidade, devido ao clima e ao próprio negócio da organização. No Cenário 5 não foi possível afirmar a existência de correlações entre os itens da GC e da sustentabilidade devido ao modelo de gestão utilizado na organização ser focado na sustentabilidade, diferente do voltado para o compartilhamento do conhecimento. Por fim, no Cenário 6 também não foram encontradas relações entre os itens, destacando a ausência de uma modelo de GC e a percepção da cultura focada nas caraterísticas visíveis (mobiliário, arquitetura, equipamentos) e no comportamento dos colaboradores. De forma geral, os resultados do estudo, de caso e multicaso, apontaram que as correlações entre a Cultura Organizacional, Gestão do Conhecimento e a Sustentabilidade, são inferiores em número e em tipo em relação ao esperado. Destacando ainda a existência de pontos em cada construto que, ao ser trabalhado nas organizações, podem vir a melhorar o resultado dessas correlações.
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Origuela, Letícia Aparecida. "Estudo da influência de eventos sobre a estrutura do mercado brasileiro de ações a partir de redes ponderadas por correlações de Pearson, Spearman e Kendall". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/96/96132/tde-02102018-092930/.

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Neste trabalho foi analisada a influência de um evento sobre o mercado de ações brasileiro a partir das redes, e suas árvores geradoras mínimas, obtidas de medidas de dependência baseadas nas correlações de Pearson, de Spearman e de Kendall. O evento considerado foi a notícia da noite de 17 de maio de 2017 em que o dono da empresa brasileira JBS, Joesley Batista, gravou o então Presidente da República Michel Temer autorizando a compra do silêncio de um Deputado Federal. O dia seguinte a notícia, 18 de maio de 2017, foi definido como o dia do evento. Foram coletados dados de alta frequência de 58 ações do Ibovespa no período de 11 a 25 de maio de 2017. As alterações nas redes das ações do mercado foram analisadas comparando-se o período anterior e posterior ao evento em duas escalas de tempo: (1) Redes diárias: cinco pregões antes do evento, o dia do evento e, cinco pregões depois do evento, com cotações a cada 15 minutos; (2) Agrupadas em antes e depois: agrupando os dados dos 5 dias antes e dos 5 dias depois do evento. O estudo das redes diárias indicou mudança de tendência nas suas propriedades no decorrer do período que contém o evento, com cotações a cada 15 minutos. Isto sugeriu que análise do efeito médio contido nos dados agrupados antes de depois do evento poderiam tornar mais evidente as mudanças na estrutura de rede das ações. As redes antes e depois do evento apresentaram mudanças significativas nas suas métricas que ficaram mais evidenciadas nas árvores geradoras mínimas. As redes geradas pelas correlações de Kendall e Spearman apresentaram um número maior de agrupamentos antes e depois do evento e, após o evento, as árvores geradoras mínimas apresentaram uma redução do número de agrupamentos de ações para todos os tipos de correlação. As distribuições de grau ponderado após o evento indicam uma probabilidade maior de vértices com graus distante da média. As métricas das árvores geradoras mínimas por correlação de Spearman sofreram a maior variação, seguidas pelas de Kendall e Pearson, e também, indicaram que as redes após o evento ficaram mais robustas, ou seja, mais rígidas. A maior robustez das redes após o evento indica maior conectividade do mercado, tornando-o, como um todo, mais suscetível ao impacto de novos acontecimentos.
In this work the influence of an event on the Brazilian stock market was analyzed from networks and its minimum spanning trees obtained from measures of dependence based on the Pearson, Spearman, and Kendall\'s correlations. The event considered was the news in the evening of May 17, 2017 in which the owner of the Brazilian company JBS, Joesley Batista, recorded the Brazilian President Michel Temer authorizing the purchase of the silence of a congress member. The day just after the news, May 18, 2017, was defined as the event day. High-frequency data from 58 Ibovespa shares were collected from 11 to 25 May 2017. Changes in the stocks networks were analyzed comparing the period before and after the event in two time scales: (1) Daily networks: five trade sections before the event, the day of the event and, five trade sections after the event, with price every 15 minutes; (2) Grouped before and after do evento: grouping data from 5 days before and 5 days after event. The study of the daily networks indicated a change of trend in their properties during the period that contains the event, with quotations every 15 minutes. The study of daily networks indicated a change of trend in their properties during the period containing the event. This suggested that analysis of the mean effect of grouped data before and after the event could highlight the changes in the network structure. The networks before and after the event showed significant changes in their metrics, which became more evident from the minimum spanning trees. After the event, the minimum spanning trees for grouped data got a smaller number of clusters in the networks for all kind of correlations. The networks generated by Kendall and Spearman correlations presented a larger number of clusters before and after the event. The weighted degree distributions after the event suggest a power law decay tail for all the correlations considered and indicates a higher probability of vertices with weighted degrees far away from the mean weighted degree. The minimum spanning tree metrics generated by Spearman correlation suffered the greatest variation, followed by those of Kendall and Pearson; and their values indicates that after the event the networks became more robust, that is, more rigid. The increase in the networks robustness after the event indicates a higher market connectivity, making it as a whole, more susceptible to the impact of new events.
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Ivanovic, Milena. "Exploring the authenticity of the tourist experience in culture heritage tourism in South Africa / Milena Ivanovic". Thesis, North-West University, 2011. http://hdl.handle.net/10394/7606.

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The research question addressed by this dissertation is: How is the tourist experience formed and what constitutes the authenticity of the tourist experience for two market segments (motivated and not motivated by learning) of tourists visiting (political) cultural heritage sites in South Africa. The study explores the correlation between three types of authenticity, namely objective, constructed and existential on two independent tourist samples, motivated and not motivated by learning. This research was initiated for three reasons. The first reason forms part of the research problem; South African cultural experiences received the lowest ratings from the international tourists despite the fact that culture and heritage play a role in reimaging South Africa from Big 5 destination into ‘It’s possible’ and ‘Leave ordinary behind’. It was suspected that not all types of cultural heritage products justify such a low ratings, especially not the political cultural heritage sites South Africa is famous for. The second reason emerged from the academic literature on authenticity theories and calls from the influential group of postmodernist scholars to declare the objective authenticity obsolete and replace it with the existential authenticity. The argument that; the hyperreal nature of the postmodern experience and its detachment from reality makes the authenticity of the site redundant, seemed inapt for cultural heritage sites exclusively dependent on their historical and authentic values. The third reason was the inability of the postmodern paradigm to explain the new tourism phenomenon driven by the tourists search for selfdevelopment through authentic experiences. The new emerging paradigm, transmodernity seemed to offer better theoretical framework in explaining the omnivorouessness of tourists’ consumption and the authentic nature of tourist experiences. The correlational character of the research question required a descriptive correlational design and quantitative methodology. The selected research instrument for primary data collection is a self–administered questionnaire. The sampling strategy is a non–probability sampling, and the sampling method is a convenience or accidental sample. The data was collected from November 2010 to February 2011 at the Constitutional Hill National Heritage Site in Johannesburg. The final sample (436) consists of 254 foreign and 182 domestic tourists. The questionnaire was designed to identify the variables pertinent to each type of authenticity of tourists experience and of the resultant tourist experience. The data analysis provided very interesting results. Firstly, the results of crosstabulation proved that more than half (56%) of the tourists expressed strong agreement that the Constitution Hill provided them with authentic experience, hence a proof that political heritage sites are not responsible for the overall low experiential ratings of the country’s culture and heritage. Secondly, the results of the Spearman’s correlation coefficient proved that objective authenticity as an independent variable have strong positive correlation with constructed and existential authenticity hence a proof that objective authenticity cannot be declared obsolete and replaced with existential authenticity. Finally, the results of the t–test proved that motivation for learning and place of birth do not play an important role in how tourist evaluate and experience the authenticity of the site pointing to the omnivorous nature of tourist consumption. In line with the transmodern paradigm, motivation for learning plays a critical role in triggering the transformative, authentic experience distinctive of the existential authenticity. The results of the study also showed that 32% of tourists are in fact the purposeful, New Age, transmodern Cultural Creatives. Proposed theoretical model of authenticity of tourists experience presents a theoretical platform for future research studies.
Thesis (M.A. (Tourism))--North-West University, Potchefstroom Campus, 2012.
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Michal, Ondřej. "Stanovení hodnot materiálových parametrů s využitím experimentů různých konfigurací". Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2012. http://www.nusl.cz/ntk/nusl-225579.

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The work occupy by inverse analysis based on artificial neural network. This identification algorithm enable correct determine parameters of applied material model on creation of numerical model of construction so it's possible that the results of computerized simulation correspond with experiments. It look's like suitable approach especially in cases with complicated problems and complex models with many material parameters.
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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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CHEN, ZHAOREN. "ANALYSIS OF EQUITY MARKETS: A SPEARMAN RANK CORRELATION COEFFICIENT APPROACH". Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/612636.

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In this honors thesis, I attempted to develop an investment strategy to analyze the U.S. stock market by studying the correlations between nine sectors defined by the Select Sector Standard & Poor’s Depository Receipts (SPDR). These funds are a group of exchange-traded funds (ETFs) which are traded worldwide and can adequately represent the performance of the sectors. Through my method, I hope to identify the sector trends in the future by evaluating the sector ETF’s most recent short-term period data. This analysis will provide an alternate investment method for investors to avoid short-term investment risk as well as explanations of why I think the approach may not be valid.
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Dastmard, Benjamin. "A statistical analysis of the connection between test results and field claims for ECUs in vehicles". Thesis, KTH, Matematisk statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118428.

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The objective of this thesis is to analyse theconnection between test results and field claims of ECUs (electronic controlunits) at Scania in order to improve the acceptance criteria and evaluatesoftware testing strategies. The connection is examined through computation ofdifferent measures of dependencies such as the Pearson’s correlation, Spearman’srank correlation and Kendall’s tau. The correlations are computed from testresults in different ECU projects and considered in a predictive model based onlogistic regression. Numerical results indicate a weak connection between testresults and field claims. This is partly due to insufficient number of ECUprojects and the lack of traceability of field claims and test results. Themain conclusion confirms the present software testing strategy. Continuoussoftware release and testing results in a lower field claim and thus a betterproduct.
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Louw, Charl. "The presentation of self-concept and emotional profile in a cardiological population". Diss., Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-02092005-092504.

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Abdalmajid, Mohammed Babekir Elmalik. "An application of factor analysis on a 24-item scale on the attitudes towards AIDS precautions using Pearson, Spearman and Polychoric correlation matrices". Thesis, University of the Western Cape, 2006. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_8765_1184324798.

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The 24-item scale has been used extensively to assess the attitudes towards AIDS precautions. This study investigated the usefulness and validity of the instrument in a South African setting, fourteen years after the development of the instrument. If a new structure could be found statistically, the HIV/AIDS prevention strategies could be more effective in aiding campaigns to change attitudes and sexual behaviour.

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Libros sobre el tema "Spearman's correlation"

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Sloan, Luke y Rob Angell. Spearman’s Rank-Order Correlation Coefficient and the General Social Survey (2012): Income and Political Influence. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473937987.

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Sloan, Luke y Rob Angell. Spearman’s Rank-Order Correlation Coefficient and the General Social Survey (2012): Highest Level of Education and Income. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473937857.

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Hay, Lauren E. Effects of land-use buffer size on Spearman's partial correlations of land use and shallow ground-water quality. Trenton, N.J: Dept. of the Interior, U.S. Geological Survey, 1990.

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Hay, Lauren E. Effects of land-use buffer size on Spearman's partial correlations of land use and shallow ground-water quality. Trenton, N.J: Dept. of the Interior, U.S. Geological Survey, 1990.

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Hay, Lauren E. Effects of land-use buffer size on Spearman's partial correlations of land use and shallow ground-water quality. Trenton, N.J: Dept. of the Interior, U.S. Geological Survey, 1990.

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Hay, Lauren E. Effects of land-use buffer size on Spearman's partial correlations of land use and shallow ground-water quality. Trenton, N.J: Dept. of the Interior, U.S. Geological Survey, 1990.

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Hay, Lauren E. Effects of land-use buffer size on Spearman's partial correlations of land use and shallow ground-water quality. Trenton, N.J: Dept. of the Interior, U.S. Geological Survey, 1990.

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Hay, Lauren E. Effects of land-use buffer size on Spearman's partial correlations of land use and shallow ground-water quality. Trenton, N.J: Dept. of the Interior, U.S. Geological Survey, 1990.

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Institute, The Odum. Spearman Correlation and the Consolidated State Performance Report (2012–2013): High School Science Proficiency and High School Reading Proficiency. 1 Oliver’s Yard, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2016. http://dx.doi.org/10.4135/9781473960558.

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Spearman's Rank-Order Correlation Coefficient and the World DataBank (2012): Gross Domestic Product Per Capita and Internet Access. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473937871.

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Capítulos de libros sobre el tema "Spearman's correlation"

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Gooch, Jan W. "Spearman Rank Correlation Coefficient". En Encyclopedic Dictionary of Polymers, 996–97. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15382.

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MacFarland, Thomas W. y Jan M. Yates. "Spearman’s Rank-Difference Coefficient of Correlation". En 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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Grzegorzewski, Przemysław y Paulina Ziembińska. "Spearman’s Rank Correlation Coefficient for Vague Preferences". En Flexible Query Answering Systems, 342–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24764-4_30.

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Kokoska, Stephen y Christopher Nevison. "Critical Values For Spearman’s Rank Correlation Coefficient". En Springer Texts in Statistics, 86. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4613-9629-1_22.

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Williams, R. B. G. "Spearman’s and Kendall’s Coefficients of Rank Correlation". En Intermediate Statistics for Geographers and Earth Scientists, 451–79. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-06813-5_6.

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Baszczyńska, Aleksandra y Czesław Domański. "Distribution of the Spearman’s Rank Correlation Coefficient". En Operations Research ’92, 333–35. Heidelberg: Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-662-12629-5_95.

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Shah, Dharambhai y Tanish Zaveri. "Hyperspectral Endmember Extraction Algorithm Using Spearman’s Rank Correlation". En Algorithms for Intelligent Systems, 305–18. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5077-5_27.

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Ye, Jiaqi, Chengwei Xiao, Rui Máximo Esteves y Chunming Rong. "Time Series Similarity Evaluation Based on Spearman’s Correlation Coefficients and Distance Measures". En Cloud Computing and Big Data, 319–31. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28430-9_24.

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Chicco, Davide, Eleonora Ciceri y Marco Masseroli. "Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation". En Computational Intelligence Methods for Bioinformatics and Biostatistics, 19–32. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24462-4_2.

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Gilbertson, D. D., M. Kent y F. B. Pyatt. "Data analysis and interpretation III: correlation and regression using Spearman’s rank correlation coefficient and semi-averages regression". En Practical Ecology for Geography and Biology, 218–36. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-1415-8_13.

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Actas de conferencias sobre el tema "Spearman's correlation"

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Fan, Xiao, Qi Wang, Kaiyuan Liu, Min Li y Pu Liu. "A coherence algorithm based on Spearman's rank correlation". En SEG Technical Program Expanded Abstracts 2018. Society of Exploration Geophysicists, 2018. http://dx.doi.org/10.1190/segam2018-2996512.1.

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Huang, Wanghua, Qinruo Wang, Weichao Xu y Yanzhou Zhou. "Robustness analysis of digital image spearman's rho correlation". En 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/aest-16.2016.29.

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Hernández-Aguirre, Arturo, Enrique Villa-Diharce y Selma Barba-Moreno. "An estimation distribution algorithm with the spearman's rank correlation index". En the 10th annual conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1389095.1389182.

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Ferdous, Rayhan, Md Zahidul Islam y Ferdous Bin Ali. "Identifying miRNA-mRNA interactions by a combination of spearman's rank correlation and IDA". En 2016 International Conference on Informatics, Electronics and Vision (ICIEV). IEEE, 2016. http://dx.doi.org/10.1109/iciev.2016.7760131.

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Jibril, Abdul Bashiru, Michael Adu Kwarteng y Miloslava Chovancova. "A demographic analysis of consumers’ preference for green products". En Contemporary Issues in Business, Management and Economics Engineering. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/cibmee.2019.044.

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Purpose – the aim of this research is to understand and present the outcomes of the strength of association between consumers and the use of the green (herbal) product from a demographic viewpoint. By extension, it measures the magnitude of dependents among demographic factors influencing the use of the green product in a developing country. Research methodology – to evaluate consumer’s demographics on the use of the green (herbal) product, 207 participants took part in the survey through a structured questionnaire. Data were obtained from users of green products (specifically herbs) in Ghana. A nonparametric test precisely chi-square test (x2) and Spearman's correlation rs were employed for our empirical analysis. Findings – the paper indicated the youthful population as the highest number of users of the green product in the herbal market. Results from the nonparametric test (Spearman’s rho) revealed that demographic factors (gender, age, education, and occupation) have an inverse relationship on the use of the green product. Whiles the chi-square test also discloses insignificant relationships among the observed attributes. This suggests that there is no empirical evidence to support the claim that use of green product depends on demographic factors of consumers. Research limitations – the limitation of this study considered the research scope, taking into account a smaller sample size for the study hence, future researchers should expand the sample size as well the other demographic variables necessary for a similar study. Practical implications – the practical implication of this study gives insights to practitioners and marketers in the herbal industry on how best they can progress in their quest to sustain in the business. Originality/Value – the present study aided in widening the scope of consumer behaviour towards the green product in the marketing discipline taken into consideration the widespread competition in the business nowadays especially in the herbal (green product) market
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Dulkarnaev, Marat Rafailevich, Evgeny Alexandrovich Malyavko, Ekaterina Evgenievna Semyonova, Oksana Alexandrovna Gorbokonenko, Yuri Alexeyevich Kotenev, Shamil Khanifovich Sultanov, Alexander Viacheslavovich Chibisov y Daria Yuryevna Chudinova. "The Use of Quantum Dot Inflow Tracers in Multi-Well Reservoir Production Surveillance and Inter-Well Diagnostics". En SPE Symposium: Petrophysics XXI. Core, Well Logging, and Well Testing. SPE, 2021. http://dx.doi.org/10.2118/208430-ms.

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Abstract Reservoir pressure maintenance is an extremely important factor in field development. In enhanced oil recovery water flooding projects, it is essential to optimize the flooding efficiency in a timely manner and reduce uncertainties in inter-well hydrodynamic modelling. Usually, the inter-well space parameters are assessed using interference tests or tracer- based surveillance. These methods offer such advantages as reliable information on the flow communication in the target area and the reservoir connectivity in different zones of the field. However, the duration and cost of the described surveillance technologies pose a significant drawback, and therefore alternative physical and mathematical methods with simplified forecast models are widely spread. This paper describes a method for integrating the results of dynamic marker-based inflow production surveillance in horizontal wells and the Spearman's rank-order correlation method. This approach is applied to provide better interventions for reservoir pressure maintenance, optimization of in-fill drilling, update existing hydro-dynamic models and reduce the level of uncertainty in decision making.
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Porobija, Zeljko y Lovorka Gotal Dmitrovic. "THE "TWINS" IN GENESIS - ARE GOD AND THE DEVIL ONE?" En NORDSCI International Conference. SAIMA Consult Ltd, 2020. http://dx.doi.org/10.32008/nordsci2020/b1/v3/23.

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The phenomenon that can be perceived in biblical texts is a specific structure of the relations between characters that basically has the form of “twins”. The “twins” are somehow set at the same distance from the third character, which can be graphically pictured as the top vertex of the triangular structure. However, this third character also has its own “twin”, but their relation is different than the relation between the aforementioned twins: the third and its “twin” somehow go together, yet they are somehow opposite to each other. For this reason, the twin of the third we named “doppelganger”: it is the shadow figure of the third, yet mostly having the different value from it (“positive” instead of “negative”). Usually at the coming of the doppelganger the third disappears from the story. In this paper we shall analyse this phenomenon in the Genesis, but using metodology of Data Science. Data collection was made by reading several translations of the Book of Genesis and recording the appearance of characters (Adam / Eve, Yahweh / Snake). Correlation between parameters was determined using Pearson's and Spearman's correlation coefficient, more precisely, the correlation matrix. After statistical data processing, a conceptual model was developed. Using System Theory, a computer model of this complex, closed system describing a “pattern of behavior” was developed. For the validation of the model, considering that the distributions are asymmetrical non-Gaussian distributions, a non-parametric tests were applied. A search of scientific papers did not find any work that deals with the research of the Book of Genesis as complex, closed system according System Theory, using Data Science methodology and Simulation modelling as a research method. This paper presents a developing knowledge-based model which contributes to philosophy of religion.
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Seongho Kim, Ming Ouyang y Xiang Zhang. "Compute spearman correlation coefficient with Matlab/CUDA". En 2012 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 2012. http://dx.doi.org/10.1109/isspit.2012.6621260.

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Mehta, Deval Samirbhai y Shoushun Chen. "A spearman correlation based star pattern recognition". En 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8297108.

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Sunnatova, R. I., M. O. Mdivani y E. V. Lidskaya. "Personal resource as a factor of deviant behaviour prevention among students of digital generation". En INTERNATIONAL SCIENTIFIC AND PRACTICAL ONLINE CONFERENCE. Знание-М, 2020. http://dx.doi.org/10.38006/907345-50-8.2020.264.276.

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The history of students’ deviant behavior problem and studying different aspects of this phenomenon is defined by ambiguous understanding of the phenomenon occurrence nature. Widespread digitalization of educational environment and social life introduces new factors determining the behavior of modern adolescents. A promising approach to solving a number of research and practical problems in preventing deviant behavior among adolescents may consider the possibility of identifying a personal resource as a factor of preventing violations in adolescent behavior. The study involved 402 students from Moscow school. It revealed negative connotations in self-confidence and obsession with computer games, browsing social networks (Spearman’s correlation coefficient — .583), as well as with volitional control of emotional reactions — .598. A significant correlation was also found between teenagers’ dissatisfaction with significant adults’ attitude and obsession with computer games, browsing social networks: problems with teachers — Spearman’s correlation coefficient .458 and, accordingly, dissatisfaction with family relationship .431. All correlations are significant at the level of 0.01. Generally, the analysis results allow us to state that the questionnaire being developed can be useful both to identify the adolescent’s personal resource that enforce normative behavior and to identify deviant behavior risk predictors for students in grades 7–11. It can also be used as a tool for targeted planning in psychological and pedagogical support aimed at leveling various behavior violations and intrapersonal destructive states of adolescents.
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Informes sobre el tema "Spearman's correlation"

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Brown, Yolanda, Twonia Goyer y Maragaret Harvey. Heart Failure 30-Day Readmission Frequency, Rates, and HF Classification. University of Tennessee Health Science Center, diciembre de 2020. http://dx.doi.org/10.21007/con.dnp.2020.0002.

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30 Day Hospital Readmission Rates, Frequencies, and Heart Failure Classification for Patients with Heart Failure Background Congestive heart failure (CHF) is the leading cause of mortality, morbidity, and disability worldwide among patients. Both the incidence and the prevalence of heart failure are age dependent and are relatively common in individuals 40 years of age and older. CHF is one of the leading causes of inpatient hospitalization readmission in the United States, with readmission rates remaining above the 20% goal within 30 days. The Center for Medicare and Medicaid Services imposes a 3% reimbursement penalty for excessive readmissions including those who are readmitted within 30 days from prior hospitalization for heart failure. Hospitals risk losing millions of dollars due to poor performance. A reduction in CHF readmission rates not only improves healthcare system expenditures, but also patients’ mortality, morbidity, and quality of life. Purpose The purpose of this DNP project is to determine the 30-day hospital readmission rates, frequencies, and heart failure classification for patients with heart failure. Specific aims include comparing computed annual re-admission rates with national average, determine the number of multiple 30-day re-admissions, provide descriptive data for demographic variables, and correlate age and heart failure classification with the number of multiple re-admissions. Methods A retrospective chart review was used to collect hospital admission and study data. The setting occurred in an urban hospital in Memphis, TN. The study was reviewed by the UTHSC Internal Review Board and deemed exempt. The electronic medical records were queried from July 1, 2019 through December 31, 2019 for heart failure ICD-10 codes beginning with the prefix 150 and a report was generated. Data was cleaned such that each patient admitted had only one heart failure ICD-10 code. The total number of heart failure admissions was computed and compared to national average. Using age ranges 40-80, the number of patients re-admitted withing 30 days was computed and descriptive and inferential statistics were computed using Microsoft Excel and R. Results A total of 3524 patients were admitted for heart failure within the six-month time frame. Of those, 297 were re-admitted within 30 days for heart failure exacerbation (8.39%). An annual estimate was computed (16.86%), well below the national average (21%). Of those re-admitted within 30 days, 50 were re-admitted on multiple occasions sequentially, ranging from 2-8 re-admissions. The median age was 60 and 60% male. Due to the skewed distribution (most re-admitted twice), nonparametric statistics were used for correlation. While graphic display of charts suggested a trend for most multiple re-admissions due to diastolic dysfunction and least number due to systolic heart failure, there was no statistically significant correlation between age and number or multiple re-admissions (Spearman rank, p = 0.6208) or number of multiple re-admissions and heart failure classification (Kruskal Wallis, p =0.2553).
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Effects of land-use buffer size on Spearman's partial correlations of land use and shallow ground-water quality. US Geological Survey, 1990. http://dx.doi.org/10.3133/wri894163.

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