Generalized Linear Models: A Bayesian Perspective

Generalized Linear Models: A Bayesian Perspective (Biostatistics)  

Posted by kalyan1232008 at March 26, 2009
Generalized Linear Models: A Bayesian Perspective (Biostatistics)

Dipak K. Dey " Generalized Linear Models: A Bayesian Perspective (Biostatistics) "
CRC; 1 edition | May 25, 2000 | English | ISBN-10: 0824790340 | 423 pages | 6.0 MB

This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers parametric and semiparametric approaches to overdispersed GLMs, presents methods of analyzing correlated binary data using latent variables. It also proposes a semiparametric method to model link functions for binary response data, and identifies areas of important future research and new applications of GLMs.
Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Repost)

P.J. Green, Bernard. W. Silverman, "Nonparametric Regression and Generalized Linear Models: A roughness penalty approach"
1993 | pages: 194 | ISBN: 0412300400 | PDF | 4,1 mb
Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Repost)

Nonparametric Regression and Generalized Linear Models: A roughness penalty approach By P.J. Green, Bernard. W. Silverman
1994 | 184 Pages | ISBN: 0412300400 | PDF | 4 MB
Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Repost)

Nonparametric Regression and Generalized Linear Models: A roughness penalty approach By P.J. Green, Bernard. W. Silverman
1994 | 184 Pages | ISBN: 0412300400 | PDF | 4 MB
Nonparametric Regression and Generalized Linear Models: A roughness penalty approach

Nonparametric Regression and Generalized Linear Models: A roughness penalty approach By P.J. Green, Bernard. W. Silverman
1994 | 184 Pages | ISBN: 0412300400 | PDF | 4 MB

Foundations of Linear and Generalized Linear Models  

Posted by ksveta6 at Nov. 21, 2015
Foundations of Linear and Generalized Linear Models

Foundations of Linear and Generalized Linear Models (Wiley Series in Probability and Statistics) by Alan Agresti
2015 | ISBN: 1118730038 | English | 472 pages | PDF + EPUB | 7 MB + 14 MB

Introduction to General and Generalized Linear Models  

Posted by arundhati at July 27, 2015
Introduction to General and Generalized Linear Models

Henrik Madsen, Poul Thyregod, "Introduction to General and Generalized Linear Models"
2010 | ISBN-10: 1420091557 | 316 pages | PDF | 2 MB
Multivariate Statistical Modelling Based on Generalized Linear Models

Multivariate Statistical Modelling Based on Generalized Linear Models
by L. Fahrmeir
English | 1994 | ISBN: 0387942335 | 425 pages | DJVU | 3.36 MB

James K. Lindsey, «Applying Generalized Linear Models»  eBooks & eLearning

Posted by Alexpal at Sept. 19, 2006
James K. Lindsey, «Applying Generalized Linear Models»

James K. Lindsey, «Applying Generalized Linear Models»
Springer | ISBN 0387982183 | 1997 Year | PDF | 1,09 Mb | 276 Pages

Applying Generalized Linear Models describes how generalized linear modelling procedures can be used for statistical modelling in many different fields, without becoming lost in problems of statistical inference. Many students, even in relatively advanced statistics courses, do not have an overview whereby they can see that the three areas - linear normal, categorical, and survival models - have much in common. The author shows the unity of many of the commonly used models and provides the reader with a taste of many different areas, such as survival models, time series, and spatial analysis. This book should appeal to applied statisticians and to scientists with a basic grounding in modern statistics. With the many exercises included at the ends of chapters, it will be an excellent text for teaching the fundamental uses of statistical modelling. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, and should be familiar at least with the analysis of the simpler normal linear models, regression and ANOVA.

Introduction to General and Generalized Linear Models (repost)  eBooks & eLearning

Posted by arundhati at July 3, 2016
Introduction to General and Generalized Linear Models (repost)

Henrik Madsen, Poul Thyregod, "Introduction to General and Generalized Linear Models"
2010 | ISBN-10: 1420091557 | 316 pages | PDF | 2 MB