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Book Cover
Book
Author Ruppert, David, 1948-

Title Semiparametric regression / David Ruppert, M.P. Wand, R.J. Carroll
Published Cambridge ; New York : Cambridge University Press, 2003

Copies

Location Call no. Vol. Availability
 MELB  519.536 Rup/Sre  TEMPORARILY UNAVAILABLE
Description xvi, 386 pages : illustrations ; 26 cm
Series Cambridge series in statistical and probabilistic mathematics
Cambridge series on statistical and probabilistic mathematics.
Contents 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 -- App. A. Technical Complements -- App. B. Computational Issues
Summary "This book is suitable as a textbook for students with little background in regression as well as a reference book for statistically oriented scientists - such as biostaticians, econometricians, quanititative social scientists, and epidemiologists - with a good working knowledge of regression and the desire to begin using more flexible semiparametric models. Even experts on semiparametric regression should find something new here."--BOOK JACKET
Notes Title from e-book title screen (viewed October 15, 2007)
Bibliography Includes bibliographical references (pages 361-374) and indexes
Subject Nonparametric statistics.
Regression analysis.
Author Carroll, Raymond J.
Wand, M. P. (Matt P.)
MyiLibrary.
LC no. 2002041460
ISBN 0521780500 hardback
0521785162 pb