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Semiparametric Regression.

Carroll, R. J.

Semiparametric Regression.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Semiparametric Regression.
Author:	Ruppert, David.
other author:	Carroll, R. J.
Published:	Cambridge :Cambridge University Press,2003.
Description:	404 p.
Online resource:	Click here to view book
ISBN:	9780511755453 (electronic bk.)

Semiparametric Regression.
Ruppert, David.

Semiparametric Regression.[electronic resource]. - Cambridge :Cambridge University Press,2003. - 404 p.

Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; Preface; Guide to Notation; 1 Introduction; 2 Parametric Regression; 3 Scatterplot Smoothing; 4 Mixed Models; 5 Automatic Scatterplot Smoothing; 6 Inference; 7 Simple Semiparametric Models; 8 Additive Models; 9 Semiparametric Mixed Models; 10 Generalized Parametric Regression; 11 Generalized Additive Models; 12 Interaction Models; 13 Bivariate Smoothing; 14 Variance Function Estimation; 15 Measurement Error; 16 Bayesian Semiparametric Regression; 17 Spatially Adaptive Smoothing; 18 Analyses; 19 Epilogue

Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software.

Electronic reproduction.

Available via World Wide Web.

Mode of access: World Wide Web.

ISBN: 9780511755453 (electronic bk.)Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: Q278.2 . / R87 2003

Dewey Class. No.: 519.5/36221

Semiparametric Regression.
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020 $a 9780511755453 (electronic bk.)
020 $a 9780521780506 (print)
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035 $a EBL217176
040 $a AU-PeEL $c AU-PeEL $d AU-PeEL
050 0 0 $a Q278.2 . $b R87 2003
082 0 0 $a 519.5/36221
100 1 $a Ruppert, David. $3 323300
245 1 0 $a Semiparametric Regression. $h [electronic resource].
260 $a Cambridge : $b Cambridge University Press, $c 2003.
300 $a 404 p.
505 0 $a Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; Preface; Guide to Notation; 1 Introduction; 2 Parametric Regression; 3 Scatterplot Smoothing; 4 Mixed Models; 5 Automatic Scatterplot Smoothing; 6 Inference; 7 Simple Semiparametric Models; 8 Additive Models; 9 Semiparametric Mixed Models; 10 Generalized Parametric Regression; 11 Generalized Additive Models; 12 Interaction Models; 13 Bivariate Smoothing; 14 Variance Function Estimation; 15 Measurement Error; 16 Bayesian Semiparametric Regression; 17 Spatially Adaptive Smoothing; 18 Analyses; 19 Epilogue
505 8 $a A Technical ComplementsB Computational Issues; Bibliography; Author Index; Notation Index; Example Index; Subject Index
520 $a Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software.
533 $a Electronic reproduction. $n Available via World Wide Web.
538 $a Mode of access: World Wide Web.
655 7 $a Electronic books. $2 local. $3 214472
700 1 $a Carroll, R. J. $3 323297
700 1 $a Gill, R. $3 322638
700 1 $a Ripley, B. D. $3 322639
700 1 $a Ross, S. $3 322640
700 1 $a Stein, M. $3 322643
700 1 $a Wand, M. P. $3 323298
700 1 $a Williams, D. $3 323299
710 2 $a Ebooks Corporation. $3 322111
776 1 $z 9780521780506
856 4 0 $z Click here to view book $u http://dx.doi.org/10.1017/CBO9780511755453