Correlation in Engineering and the Applied Sciences

Applications in R

Rajan Chattamvelli

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English

Springer International Publishing AG
09 March 2025

Integral calculus & equations; Probability & statistics; Databases

Series: Synthesis Lectures on Mathematics & Statistics

This book focuses on correlation coefficients and its applications in applied science fields. The book begins by describing the historical development and various types of correlations. Rank correlation methods including Pearson’s, Spearman’s, and Kendall’s correlation are discussed at length. The book also discusses sampling distribution of correlation coefficients and applications of correlations in various fields. The book presents novel topics such as (i) a quick analytical method to approximate Pearson's correlation, (ii) single-variable correlation, (iii) fractional co-skewness and co-kurtosis, and (iv) the fallacy on correlation between the sample mean and sample variance. This book is ideal for courses on mathematical statistics, engineering statistics, and exploratory data analysis and is primarily aimed at upper-undergraduate and graduate level students. The book is also useful for researchers and professionals in various fields who are interested in data analysis.

By: Rajan Chattamvelli
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Dimensions: Height: 240mm, Width: 168mm,
ISBN: 9783031510175
ISBN 10: 3031510178
Series: Synthesis Lectures on Mathematics & Statistics
Pages: 179
Publication Date: 09 March 2025
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Rajan Chattamvelli, Ph.D., is a Professor in the School of Computer Science and Engineering at Amrita University, India. He has published more than 20 research articles in international journals, and his research interests include computational statistics, design of algorithms, parallel computing, data mining, machine learning, blockchain, combinatorics, and big data analytics.