Semiparametric Regression
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Semiparametric Regression With R
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Author : Jaroslaw Harezlak
language : en
Publisher: Springer
Release Date : 2018-12-12
Semiparametric Regression With R written by Jaroslaw Harezlak and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-12 with Mathematics categories.
This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in practice. Semiparametric regression has a large literature but much of it is geared towards data analysts who have advanced knowledge of statistical methods. While R now has a great deal of semiparametric regression functionality, many of these developments have not trickled down to rank-and-file statistical analysts. The authors assemble a broad range of semiparametric regression R analyses and put them in a form that is useful for applied researchers. There are chapters devoted to penalized spines, generalized additive models, grouped data, bivariate extensions of penalized spines, and spatial semi-parametric regression models. Where feasible, the R code is provided in the text, however the book is also accompanied by an external website complete with datasets and R code. Because of its flexibility, semiparametric regression has proven to be of great value with many applications in fields as diverse as astronomy, biology, medicine, economics, and finance. This book is intended for applied statistical analysts who have some familiarity with R.
Semiparametric Regression
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Author : David Ruppert
language : en
Publisher: Cambridge University Press
Release Date : 2003-07-14
Semiparametric Regression written by David Ruppert and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-14 with Mathematics categories.
Even experts on semiparametric regression should find something new here.
Semiparametric Regression For The Applied Econometrician
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Author : Adonis Yatchew
language : en
Publisher: Cambridge University Press
Release Date : 2003-06-02
Semiparametric Regression For The Applied Econometrician written by Adonis Yatchew and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-02 with Business & Economics categories.
This book provides an accessible collection of techniques for analyzing nonparametric and semiparametric regression models. Worked examples include estimation of Engel curves and equivalence scales, scale economies, semiparametric Cobb-Douglas, translog and CES cost functions, household gasoline consumption, hedonic housing prices, option prices and state price density estimation. The book should be of interest to a broad range of economists including those working in industrial organization, labor, development, urban, energy and financial economics. A variety of testing procedures are covered including simple goodness of fit tests and residual regression tests. These procedures can be used to test hypotheses such as parametric and semiparametric specifications, significance, monotonicity and additive separability. Other topics include endogeneity of parametric and nonparametric effects, as well as heteroskedasticity and autocorrelation in the residuals. Bootstrap procedures are provided.
Semiparametric Regression For The Social Sciences
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Author : Luke John Keele
language : en
Publisher: John Wiley & Sons
Release Date : 2008-04-15
Semiparametric Regression For The Social Sciences written by Luke John Keele and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-15 with Mathematics categories.
An introductory guide to smoothing techniques, semiparametric estimators, and their related methods, this book describes the methodology via a selection of carefully explained examples and data sets. It also demonstrates the potential of these techniques using detailed empirical examples drawn from the social and political sciences. Each chapter includes exercises and examples and there is a supplementary website containing all the datasets used, as well as computer code, allowing readers to replicate every analysis reported in the book. Includes software for implementing the methods in S-Plus and R.
Testing For Linearity In A Semiparametric Regression Model
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Author : Thomas S. Shively
language : en
Publisher:
Release Date : 1993
Testing For Linearity In A Semiparametric Regression Model written by Thomas S. Shively and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Regression analysis categories.
Semiparametric Regression For Multi Dimensional Data
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Author : Dawei Liu
language : en
Publisher:
Release Date : 2005
Semiparametric Regression For Multi Dimensional Data written by Dawei Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Bayesian Semiparametric Regression Models With Mixtures Of Constrained Polya Tree Priors
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Author : Jun Qin
language : en
Publisher:
Release Date : 2005
Bayesian Semiparametric Regression Models With Mixtures Of Constrained Polya Tree Priors written by Jun Qin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Adaptive Estimation In Semiparametric Regression Models With Conditionally Heteroskedastic Disturbances
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Author : Yanquin Fan
language : en
Publisher:
Release Date : 1993
Adaptive Estimation In Semiparametric Regression Models With Conditionally Heteroskedastic Disturbances written by Yanquin Fan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Heteroscedasticity categories.
Bayesian Semiparametric Regression
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Author : Michael Smith
language : en
Publisher:
Release Date : 1997
Bayesian Semiparametric Regression written by Michael Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Advertising categories.
Semiparametric Inference For Regression Models Based On Marked Point Processes
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Author : Alexander Luhm
language : en
Publisher: Herbert Utz Verlag
Release Date : 1999
Semiparametric Inference For Regression Models Based On Marked Point Processes written by Alexander Luhm and has been published by Herbert Utz Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.