Modeling Count Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Count Data write by Joseph M. Hilbe. This book was released on 2014-07-21. Modeling Count Data available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression Analysis of Count Data write by Adrian Colin Cameron. This book was released on 2013-05-27. Regression Analysis of Count Data available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Econometric Analysis of Count Data write by Rainer Winkelmann. This book was released on 2013-06-29. Econometric Analysis of Count Data available in PDF, EPUB and Kindle. The primary objective of this book is to provide an introduction to the econometric modeling of count data for graduate students and researchers. It should serve anyone whose interest lies either in developing the field fur ther, or in applying existing methods to empirical questions. Much of the material included in this book is not specific to economics, or to quantita tive social sciences more generally, but rather extends to disciplines such as biometrics and technometrics. Applications are as diverse as the number of congressional budget vetoes, the number of children in a household, and the number of mechanical defects in a production line. The unifying theme is a focus on regression models in which a dependent count variable is modeled as a function of independent variables which mayor may not be counts as well. The modeling of count data has come of age. Inclusion of some of the fundamental models in basic textbooks, and implementation on standard computer software programs bear witness to that. Based on the standard Poisson regression model, numerous extensions and alternatives have been developed to address the common challenges faced in empirical modeling (unobserved heterogeneity, selectivity, endogeneity, measurement error, and dependent observations in the context of panel data or multivariate data, to name but a few) as well as the challenges that are specific to count data (e. g. , over dispersion and underdispersion).
Negative Binomial Regression
Negative Binomial Regression - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Negative Binomial Regression write by Joseph M. Hilbe. This book was released on 2011-03-17. Negative Binomial Regression available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression Models for Categorical and Limited Dependent Variables write by J. Scott Long. This book was released on 1997-01-09. Regression Models for Categorical and Limited Dependent Variables available in PDF, EPUB and Kindle. 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.
