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Simultaneous inference in regression [electronic resource]
- 作者: Liu, Wei, 1964 April 15-
- 其他題名:
- Monographs on statistics and applied probability (Series) ;
- 出版: Boca Raton : CRC Press
- 叢書名: Monographs on statistics and applied probability118
- 主題: Regression analysis , Confidence intervals , Electronic books.
- ISBN: 9781439828106 (electronic bk.) 、 1439828105 (electronic bk.)
- FIND@SFXID: CGU
- 資料類型: 電子書
- 內容註: Includes bibliographical references (pages 255-268). Front cover; Dedication; Preface; Contents; List of Figures; List of Tables; Chapter 1: Introduction to Linear Regression Analysis; Chapter 2: Confidence Bands for One Simple Regression Model; Chapter 3: Confidence Bands for One Multiple Regression Model; Chapter 4: Assessing Part of a Regression Model; Chapter 5: Comparison of Two Regression Models; Chapter 6: Comparison of More Than Two Regression Models; Chapter 8: Confidence Bands for Logistic Regression; Appendices; A: Approximation of the percentile of a random variable; B Computation of projection; C Computation of projection. D Principle of intersection-union testE Computation of the K-functions in Chapter 7; Bibliography; Back cover.
- 摘要註: The use of simultaneous confidence bands in linear regression is a vibrant area of research. This book presents an overview of the methodology and applications, including necessary background material on linear models. A special chapter on logistic regression gives readers a glimpse into how these methods can be used for generalized linear models. The appendices provide computational tools for simulating confidence bands. The author also includes MATLAB[registered] programs for all examples on the web. With many numerical examples and software implementation, this text serves the needs of rese.
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讀者標籤:
- 系統號: 005109490 | 機讀編目格式
館藏資訊
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 inferentia
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