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Simultaneous inference in regression

[NT 42944] Record Type:	[NT 8598] Electronic resources : [NT 40817] monographic
[NT 47261] Author:	LiuWei, 1964 April 15-
[NT 47351] Place of Publication:	Boca Raton
[NT 47263] Published:	CRC Press;
[NT 47352] Year of Publication:	c2011
[NT 47264] Description:	1 online resource (xxi, 268 p.)ill :
[NT 47298] Series:	Monographs on statistics and applied probability
[NT 47266] Subject:	Regression analysis -
[NT 47266] Subject:	Confidence intervals -
[NT 47266] Subject:	Electronic books -
[NT 51458] Online resource:	http://www.crcnetbase.com/isbn/978-1-4398-2809-0
[NT 47265] Notes:	Description based on print version record
[NT 51398] Summary:	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
[NT 50961] ISBN:	9781439828106electronic bk.
[NT 50961] ISBN:	1439828105electronic bk.
[NT 50961] ISBN:	hbk.
[NT 50961] ISBN:	hbk.
[NT 60779] Content Note:	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

Simultaneous inference in regression
Liu, Wei

Simultaneous inference in regression / Wei Liu - Boca Raton : CRC Press, c2011. - 1 online resource (xxi, 268 p.) ; ill. - (Monographs on statistics and applied probability ; 118).
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.
Description based on print version record.
Includes bibliographical references (pages 255-268).
ISBN 9781439828106ISBN 1439828105
Regression analysisConfidence intervalsElectronic books

Simultaneous inference in regression
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327 1 $a 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
330 $a 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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