The Resource Semiparametric regression, David Ruppert, Cornell University, M.P. Wand, Harvard University, R.J. Carroll, Texas A&M University

Semiparametric regression, David Ruppert, Cornell University, M.P. Wand, Harvard University, R.J. Carroll, Texas A&M University

Label
Semiparametric regression
Title
Semiparametric regression
Statement of responsibility
David Ruppert, Cornell University, M.P. Wand, Harvard University, R.J. Carroll, Texas A&M University
Creator
Contributor
Author
Subject
Language
eng
Summary
Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. 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. The 2003 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 biostatisticians, econometricians, quantitative social scientists, 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
Member of
Cataloging source
N$T
Dewey number
519.5/36
Illustrations
illustrations
Index
index present
LC call number
QA278.2
LC item number
.R87 2003eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • statistics
Series statement
Cambridge series in statistical and probabilistic mathematics
Label
Semiparametric regression, David Ruppert, Cornell University, M.P. Wand, Harvard University, R.J. Carroll, Texas A&M University
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 361-374) and indexes
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
mixed
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Parametric regression -- Scatterplot smoothing -- Mixed models -- Automatic scatterplot smoothing -- Inference -- Simple semiparametric models -- Additive models -- Semiparametric mixed models -- Generalized parametric regression -- Generalized additive models -- Interaction models -- Bivariate smoothing -- Variance function estimation -- Measurement error -- Bayesian semiparametric regression -- Spatially adaptive smoothing -- Analyses -- Epilogue -- Technical complements -- Computational issues
Control code
ocm57204727
Dimensions
unknown
Extent
1 online resource (xvi, 386 pages)
Form of item
online
Isbn
9780511060526
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
http://library.link/vocab/recordID
.b36388762
Specific material designation
remote
System control number
  • (OCoLC)57204727
  • acaebk0511060521

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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