Modeling Count Data

Modeling Count Data
Title Modeling Count Data PDF eBook
Author Joseph M. Hilbe
Publisher Cambridge University Press
Pages 301
Release 2014-07-21
Genre Business & Economics
ISBN 1107028337

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This book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models.

Regression Analysis of Count Data

Regression Analysis of Count Data
Title Regression Analysis of Count Data PDF eBook
Author Adrian Colin Cameron
Publisher Cambridge University Press
Pages 597
Release 2013-05-27
Genre Business & Economics
ISBN 1107014166

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This book provides the most comprehensive and up-to-date account of regression methods to explain the frequency of events.

Econometric Analysis of Count Data

Econometric Analysis of Count Data
Title Econometric Analysis of Count Data PDF eBook
Author Rainer Winkelmann
Publisher Springer Science & Business Media
Pages 324
Release 2003
Genre Business & Economics
ISBN 9783540404040

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Many other sections have been entirely rewritten and extended."--BOOK JACKET.

Negative Binomial Regression

Negative Binomial Regression
Title Negative Binomial Regression PDF eBook
Author Joseph M. Hilbe
Publisher Cambridge University Press
Pages 573
Release 2011-03-17
Genre Mathematics
ISBN 1139500066

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This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, interpretation and evaluation. Complete Stata and R codes are provided throughout the text, with additional code (plus SAS), derivations and data provided on the book's website. Written for the practising researcher, the text begins with an examination of risk and rate ratios, and of the estimating algorithms used to model count data. The book then gives an in-depth analysis of Poisson regression and an evaluation of the meaning and nature of overdispersion, followed by a comprehensive analysis of the negative binomial distribution and of its parameterizations into various models for evaluating count data.

Regression Models for Categorical and Limited Dependent Variables

Regression Models for Categorical and Limited Dependent Variables
Title Regression Models for Categorical and Limited Dependent Variables PDF eBook
Author J. Scott Long
Publisher SAGE
Pages 334
Release 1997-01-09
Genre Mathematics
ISBN 9780803973749

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Evaluates the most useful models for categorical and limited dependent variables (CLDVs), emphasizing the links among models and applying common methods of derivation, interpretation, and testing. The author also explains how models relate to linear regression models whenever possible. Annotation c.

International Encyclopedia of Statistical Science

International Encyclopedia of Statistical Science
Title International Encyclopedia of Statistical Science PDF eBook
Author Miodrag Lovric
Publisher Springer Science & Business Media
Pages 0
Release 2010-12-01
Genre Mathematics
ISBN 3642048978

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The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. For the first time authors from many developing countries have an opportunity to write together with the most prominent world authorities. The editor has spent several years searching for the most reputable statisticians all over the world. International contributors are either presidents of the local statistical societies, or head of the Statistics department at the main university, or the most distinguished statisticians in their countries. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science.

Count Data Models

Count Data Models
Title Count Data Models PDF eBook
Author Rainer Winkelmann
Publisher Springer Science & Business Media
Pages 223
Release 2013-11-11
Genre Business & Economics
ISBN 366221735X

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This book presents statistical methods for the analysis of events. The primary focus is on single equation cross section models. The book addresses both the methodology and the practice of the subject and it provides both a synthesis of a diverse body of literature that hitherto was available largely in pieces, as well as a contribution to the progress of the methodology, establishing several new results and introducing new models. Starting from the standard Poisson regression model as a benchmark, the causes, symptoms and consequences of misspecification are worked out. Both parametric and semi-parametric alternatives are discussed. While semi-parametric models allow for robust interference, parametric models can identify features of the underlying data generation process.