Introduction to Multivariate Analysis - Linear and Nonlinear Modeling

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 prima

Sommario

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.

Info autore

Sadanori Konishi

Riassunto

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 prima

Dettagli sul prodotto

• Autori: Sadanori Konishi, Sadanori (Chuo University Konishi
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 30.06.2020
• EAN: 9780367576134
• ISBN: 978-0-367-57613-4
• Pagine: 338
• Serie: Chapman & Hall/CRC Texts in Statistical Science
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica; Scienze umane, arte, musica > Psicologia > Fondamenti