Titlebook: Correlation in Engineering and the Applied Sciences; Applications in R Rajan Chattamvelli Textbook 2024 The Editor(s) (if applicable) and T

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Rajan ChattamvelliCombines theory with numerical examples and includes the latest developments in the field.Presents computer code in R software and features plentiful exercises throughout.Features discussions on measu

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Synthesis Lectures on Mathematics & Statisticshttp://image.papertrans.cn/c/image/238770.jpg

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Measures of Association,ons, and compares regression with correlation. A brief discussion on the data assumptions and interpretations of correlation coefficient follows it. The single-variable correlation that has applications in crystallography, medical sciences and many other fields appears in Sect.?.. Scatterplots and W

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,Pearson’s Correlation,discussed first. It is proven that the Pearson’s correlation is . when a linear association exists among the variables. A brief discussion of covariance and correlation matrices and conditional correlation follows it. The concept of co-skewness and co-kurtosis is introduced and extended to fractiona

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Rank Correlation,g methods, properties of rank correlations, computational aspects, duplicate rank problem and Spearman’s footrule. The Blest’s rank correlation is numerically illustrated and a simple algorithm that has slight computational advantage is derived. A discussion of Kendall’s . and its variants appears n

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