Introduction to Multivariate Analysis

Linear and Nonlinear Modeling

AvSadanori Konishi

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PDF, Engelska, 2014

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Beskrivning

This text shows how to use multivariate analysis to extract useful information from multivariate data and understand the structure of random phenomena. Along with the basic concepts of various procedures in traditional multivariate analysis, the book covers nonlinear techniques for clarifying phenomena behind observed multivariate data. It primarily focuses on regression modeling, classification, discrimination, dimension reduction, and clustering. Many examples and figures throughout facilitate a deep understanding of the multivariate analysis techniques, including how to select the optimal model.

Produktinformation

Utgivningsdatum:2014-06-06
Språk:Engelska
Filformat:PDF
Kopieringsskydd:LCP
ISBN:9781466567290
Förlag:Taylor & Francis Inc
Serie:Chapman & Hall/CRC Texts in Statistical Science

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Recensioner i media

"The presentation is always clear and several examples and figures facilitate an easy understanding of all the techniques. The book can be used as a textbook in advanced undergraduate courses in multivariate analysis, and can represent a valuable reference manual for biologists and engineers working with multivariate datasets." -Fabio Rapallo, Zentralblatt MATH 1296

Innehållsförteckning

Introduction. Linear Regression Models. Nonlinear Regression Models. Logistic Regression Models. Model Evaluation and Selection. Discriminant Analysis. Bayesian Classification. Support Vector Machines. Principal Component Analysis. Clustering. Appendices. Bibliography. Index.