株式会社極東書店トップ商品一覧Simultaneous Inference in Regression.

商品詳細

Simultaneous Inference in Regression.

Simultaneous Inference in Regression. 回帰における同時推定

・ISBN 978-1-4398-2809-0 2011 cloth GB£ 235.00

¥74,448.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り

・ISBN 978-1-138-11168-4 2017 paper GB£ 87.99

¥27,875.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り

電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-0-429-09435-4

著者・編者Liu, Wei,
シリーズMonographs on Statistics and Applied Probability
出版社(CRC Pr., US)
ページ数292 pp.
言語ENG
ニュース番号<577-265>

解説

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and applications of simultaneous confidence bands for various inferential purposes. It supplies examples and MATLAB (R) programs that make it easy to apply the methods to your own data analysis. The MATLAB programs, along with color figures, are available for download on www.personal.soton.ac.uk/wl/mybook.html

Most of the book focuses on normal-error linear regression models. The author presents simultaneous confidence bands for a simple regression line, a multiple linear regression model, and polynomial regression models. He also uses simultaneous confidence bands to assess part of a multiple linear regression model with the zero function, to compare two regression models, and to evaluate more than two regression models. The final chapter demonstrates the use of simultaneous confidence bands in generalized linear regression models, such as logistic regression models.

This book shows how to employ simultaneous confidence bands to make useful inferences in regression analysis. The topics discussed can be extended to functions other than parametric regression functions, offering novel opportunities for research beyond linear regression models.