Generalized Linear Models and Extensions PDF ePub eBook

Books Info:

Generalized Linear Models and Extensions free pdf This book presents a thorough examination of generalized linear model (GLM) estimation methods as well as the derivation of all major GLM families. Examined families include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric, and negative binomial. The text also contains various models that have been developed on the basis of GLM theory, including GAM, ordered binomial models, multinomial logit and probit models, GEE and other quasi-likelihood models, fixed and random effects models, and random intercept and random parameter models. Using Stata, the book offers numerous examples to assist you in applying the models to your own data situations.

About James W. Hardin

Unfortunately, at this time we cannot present you with details about your Founder James W. Hardin. However does not always mean that people fail to be with her assortment. We also inquire which you help us in this issue. For those who have sparetime and need will exceptionally take pleasure in when you present to people your information. Whenever getting these comments and details by customers with regards to the Generalized Linear Models and Extensions Founder James W. Hardin, we first her look at. As soon as all of us be certain that almost all genuine, simply publish that. All of us understand why help as well as thanks beforehand.

Details Book

Author : James W. Hardin
Publisher : Stata Press
Data Published : 06 July 2012
ISBN : 1597181056
EAN : 9781597181051
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 479 pages
Age + : 15 years
Language : English
Rating :

Reviews Generalized Linear Models and Extensions



17 Comments Add a comment




Related eBooks Download


  • Fixed Effects Regression Models free pdfFixed Effects Regression Models

    This book will show how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models. logistic models. Poisson models. Cox regression models..


  • Introduction to General and Generalized Linear Models free pdfIntroduction to General and Generalized Linear Models

    Since the mathematics behind generalized linear models is often difficult to follow while the mathematics behind general linear models is well understood. this text describes the methodology behind both models in a parallel setup..


  • Generalized Linear Models free pdfGeneralized Linear Models

    The success of the first edition of Generalized Linear Models led to the updated Second Edition. which continues to provide a definitive unified. treatment of methods for the analysis of diverse types of data..


  • Linear Probability, Logit and Probit Models free pdfLinear Probability, Logit and Probit Models

    Ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables. but this volume examines three techniques -- linear probability. probit. and logit models -- which are well-suited for such data..


  • Hierarchical Linear Models free pdfHierarchical Linear Models

    Popular in its first edition for its rich. illustrative examples and lucid explanations of the theory and use of hierarchical linear models (HLM). the book has been updated to include: an intuitive introductory summary of the basic procedures for estimation and inference used with HLM models that only requires a minimal level of mathematical sophistication- a new section on multivariate growth models- a discussion of research synthesis or meta-analysis applications- aata analytic advice on centering of level-1 predictors..


  • Generalized Linear Models and Extensions free pdfGeneralized Linear Models and Extensions

    Download Books Free Epub. This book presents a thorough examination of generalized linear model (GLM) estimation methods as well as the derivation of all major GLM families. Examined families include