TY  - BOOK
AU  - Konishi,Sadanori
TI  - Introduction to multivariate analysis: linear and nonlinear modeling 
T2  - Chapman & Hall/CRC texts in statistical science series
SN  - 9781482256222 (ePub ebook) :
U1  - 519.535 23
PY  - 2014///
CY  - Boca Raton
PB  - Chapman & Hall/CRC
KW  - Multivariate analysis
N1  - Academic; Includes bibliographical references and index; Introduction; Regression Modeling; Classification and Discrimination; Dimension Reduction; Clustering Linear Regression Models; Relationship between Two Variables; Relationships Involving Multiple Variables; Regularization Nonlinear Regression Models; Modeling Phenomena; Modeling by Basis Functions; Basis Expansions; Regularization Logistic Regression Models; Risk Prediction Models; Multiple Risk Factor Models; Nonlinear Logistic Regression Models Model Evaluation and Selection; Criteria Based on Prediction Errors; Information Criteria; Bayesian Model Evaluation Criterion Discriminant Analysis; Fisher’s Linear Discriminant Analysis; Classification Based on Mahalanobis Distance; Variable Selection; Canonical Discriminant Analysis Bayesian Classification; Bayes’ Theorem; Classification with Gaussian Distributions; Logistic Regression for Classification Support Vector Machines; Separating Hyperplane; Linearly Nonseparable Case; From Linear to Nonlinear Principal Component Analysis; Principal Components; Image Compression and Decompression; Singular Value Decomposition; Kernel Principal Component Analysis Clustering; Hierarchical Clustering; Nonhierarchical Clustering; Mixture Models for Clustering Appendix A: Bootstrap Methods ; Appendix B: Lagrange Multipliers ; Appendix C: EM Algorithm Bibliography Index; Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK)
ER  -