Sadanori Konishi

Introduction to Multivariate Analysis (eBook, PDF)

Linear and Nonlinear Modeling

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 338
• Erscheinungstermin: 6. Juni 2014
• Englisch
• ISBN-13: 9781466567290
• Artikelnr.: 57076457

Autorenporträt

Sadanori Konishi

Inhaltsangabe

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.