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Confidence Intervals in Generalized Regression Models.

Confidence Intervals in Generalized Regression Models. 一般化回帰モデルにおける信頼区間

・ISBN 978-1-4200-6027-0 2009 hard with CD-ROM GB£ 171.99

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・ISBN 978-0-367-38708-2 2019 paper GB£ 70.99

¥22,489.- (税込) (※)価格はご注文時の参考価格となります。
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電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-0-429-14854-5

著者・編者Uusipaikka, Esa,
シリーズStatistics: Textbooks and Monographs
出版社(Chapman & Hall / CRC, US)
ページ数328 pp.
言語ENG
ニュース番号<549-192>

解説

A Cohesive Approach to Regression Models

Confidence Intervals in Generalized Regression Models introduces a unified representation-the generalized regression model (GRM)-of various types of regression models. It also uses a likelihood-based approach for performing statistical inference from statistical evidence consisting of data and its statistical model.

Provides a Large Collection of Models

The book encompasses a number of different regression models, from very simple to more complex ones. It covers the general linear model (GLM), nonlinear regression model, generalized linear model (GLIM), logistic regression model, Poisson regression model, multinomial regression model, and Cox regression model. The author also explains methods of constructing confidence regions, profile likelihood-based confidence intervals, and likelihood ratio tests.

Uses Statistical Inference Package to Make Inferences on Real-Valued Parameter Functions

Offering software that helps with statistical analyses, this book focuses on producing statistical inferences for data modeled by GRMs. It contains numerical and graphical results while providing the code online.