Hilbe, Joseph M  | Cambridge University Press

95,550원  | 20140731  | 9781107611252

This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model.

Hilbe, Joseph M.  | Taylor & Francis

347,400원  | 20090811  | 9781420075755

Presents an overview of the logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. This book discusses other topics such as panel, survey, skewed, penalized, and exact logistic models. It illustrates how to apply the various models to health, and social science data.

Hilbe, Joseph M./ /  | Cambridge University Press

205,800원  | 20110520  | 9780521198158

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.

Hardin, James W./ Hilbe, Joseph M.  | Stata Press

136,760원  | 20070220  | 9781597180146

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.

Muenchen, Robert A./Hilbe, Joseph M./  | Springer Verlag

459,350원  | 20100827  | 9781441913173

Stata is the most flexible and extensible data analysis package available from a commercial vendor. R is a similarly flexible free and open source package for data analysis, with over 3,000 add-on packages available. This book shows you how to extend the power of Stata through the use of R. It introduces R using Stata terminology with which you are already familiar. It steps through more than 30 programs written in both languages, comparing and contrasting the two packages' different approaches.

Hardin, James W (Author), Hilbe, Joseph M (Author)  | Taylor & Francis

217,120원  | 20121222  | 9781439881132

The extraordinary new novel from David Park

Hilbe, Joseph M., De Souza, Rafael S., Ishida, Emille E. O.  | Cambridge Univ Pr

176,400원  | 20170531  | 9781107133082

This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. A must-have for astronomers, its concrete focus on modeling, analysis, and interpretation will also be attractive to researchers in the sciences more broadly.