Introduction to multivariate analysis : linear and nonlinear modeling
Sadanori Konishi (Author)
"Multivariate techniques are used to analyze data that arise from more than one variable in which there are relationships between the variables. Mainly based on the linearity of observed variables, these techniques are useful for extracting information and patterns from multivariate data as well as for the understanding the structure of random phenomena. This book describes the concepts of linear and nonlinear multivariate techniques, including regression modeling, classification, discrimination, dimension reduction, and clustering"-- Provided by publisher
Print Book, English, 2014
CRC Press, Taylor & Francis Group, Boca Raton, 2014