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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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發(fā)表于 2025-3-25 06:23:09 | 只看該作者
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發(fā)表于 2025-3-25 08:37:50 | 只看該作者
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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發(fā)表于 2025-3-25 15:33:44 | 只看該作者
Synthesis Lectures on Mathematics & Statisticshttp://image.papertrans.cn/c/image/238770.jpg
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發(fā)表于 2025-3-25 17:45:34 | 只看該作者
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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發(fā)表于 2025-3-25 21:40:43 | 只看該作者
,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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發(fā)表于 2025-3-26 02:27:41 | 只看該作者
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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