TY  - BOOK
AU  - Chattamvelli,Rajan
ED  - SpringerLink (Online service)
TI  - Correlation in Engineering and the Applied Sciences: Applications in R 
T2  - Synthesis Lectures on Mathematics & Statistics,
SN  - 9783031510151
AV  - QA276-280 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Statistics 
KW  - Statistics
KW  - Multivariate analysis
KW  - Measure theory
KW  - Quantitative research
KW  - Mathematical statistics
KW  - Applied Statistics
KW  - Statistical Theory and Methods
KW  - Multivariate Analysis
KW  - Measure and Integration
KW  - Data Analysis and Big Data
KW  - Mathematical Statistics
N1  - Measures of Association -- Pearson’s Correlation -- Rank Correlation -- Distribution of Correlation -- Applications of Correlation
N2  - 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. In addition, this book: Combines 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 measures of association, rank correlation, and the distribution
UR  - https://doi.org/10.1007/978-3-031-51015-1
ER  -