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Semiparametric Regression by David Ruppert
Book DescriptionSemiparametric 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.
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Book DetailsISBN: 9780521785167
(253mm x 177mm x 21mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 14-Jul-2003
Country of Publication: United Kingdom
Books By Author David Ruppert
Measurement Error in Nonlinear Models, Hardback (June 2006)
Offers an overview of analysis strategies for regression models in which variables are measured with errors. This book includes material on Bayesian methods and semiparametric regression and a chapter on generalized linear mixed models.
Semiparametric Regression, Hardback (July 2003)» View all books by David Ruppert
This user-friendly 2003 book explains the techniques and benefits of semiparametric regression in a concise and modular fashion.
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