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Correlation in Engineering and the Applied Sciences - Rajan Chattamvelli

Correlation in Engineering and the Applied Sciences

Applications in R
Buch | Hardcover
XVI, 179 Seiten
2024 | 2024
Springer International Publishing (Verlag)
978-3-031-51014-4 (ISBN)
CHF 59,90 inkl. MwSt

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.

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.

Measures of Association.- Pearson's Correlation.- Rank Correlation.- Distribution of Correlation.- Applications of Correlation.

Erscheinungsdatum
Reihe/Serie Synthesis Lectures on Mathematics & Statistics
Zusatzinfo XVI, 179 p. 10 illus., 8 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 168 x 240 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Applications Correlation • Applications of Correlations • Distribution of Correlation • Kendall's Software • Kendall’s Software • Measures of association • Multivariate Correlation • Pearson's Correlation • Pearson’s Correlation • Rank correlation • Regression • R software • Spearman's Correlation • Spearman’s Correlation
ISBN-10 3-031-51014-3 / 3031510143
ISBN-13 978-3-031-51014-4 / 9783031510144
Zustand Neuware
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