Physical Sciences and Mathematics Commons^™

Hilbe Mcd E-Book2016 Errata 03nov2016, Joseph M. Hilbe

Joseph M Hilbe

Calculating Odds Ratios From Probabillities, Joseph M. Hilbe

Joseph M Hilbe

Modeling Count Data; Errata And Additions

Joseph M Hilbe

Mdc-Stata-Code, Joseph M. Hilbe

Joseph M Hilbe

Modeling Count Data, Stata code in book for use

Extensions To Modeling Count Data, Joseph M. Hilbe

Joseph M Hilbe

Extensions to Modeling Count Data provides additional code and discussion of methodology from what exists in Hilbe, Modeling Count Data (2014). The book is designed to be basic, and of fewer than 300 pages. Some topics were excluded that might be helpful to analysts in modeling counts.

Derivation Of A Scaled Binomial As An Instance Of A General Discrete Exponential Distribution, Joseph Hilbe

Joseph M Hilbe

No abstract provided.

Log-Negative Binomial Regression As A Generalized Linear Model, Joseph Hilbe

Joseph M Hilbe

The negative binomial (NB) is a member of the exponential family of discrete probability distributions. The nature of the distribution is itself well understood, but its contribution to regression modeling, in particular as a generalized linear model (GLM), has not been appreciated. The mathematical properties of the negative binomial are derived and GLM algorithms are developed for both the canonical and log form. Geometric regression is seen as an instance of the NB. The log forms of both may be effectively used to model types of POisson-overdispersed count data. A GLM-type algorithm is created for a general log-negative binomial regression …