Items related to REGRESSION AND TIME SERIES MODEL SELECTION

REGRESSION AND TIME SERIES MODEL SELECTION - Hardcover

Mcquarrie, Allan D R (.); Tsai, Chih-ling (Univ Of California, Davis, Usa)

 
9789810232429: REGRESSION AND TIME SERIES MODEL SELECTION

Synopsis

This important book describes procedures for selecting a model from a large set of competing statistical models. It includes model selection techniques for univariate and multivariate regression models, univariate and multivariate autoregressive models, nonparametric (including wavelets) and semiparametric regression models, and quasi-likelihood and robust regression models. Information-based model selection criteria are discussed, and small sample and asymptotic properties are presented. The book also provides examples and large scale simulation studies comparing the performances of information-based model selection criteria, bootstrapping, and cross-validation selection methods over a wide range of models.

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Product Description

Describes procedures for selecting a model from a large set of competing statistical models. The text includes: model-selection techniques for univariate and multivariate regression models; univariate and multivariate autoregressive models; nonparametric (including wavelets) and semi-parametric models; and quasi-likelihood and robust regression models. Information-based model-selection criteria are discussed, and small-sample and asymptotic properties are presented. The book also provides examples and large-scale simulation studies comparing the performances of information-based model-selection criteria, bootstrapping and cross-validation selection methods over a range of models.

"About this title" may belong to another edition of this title.