Logistic Regression Models (BOK)

Joseph M. Hilbe

869,00 86900
Sendes vanligvis innen 5-15 dager
Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The text illustrates how to apply the various models to health, environmental, physical, and social science data. Examples illustrate successful modeling The text first provides basic terminology and concepts, before explaining the foremost methods of estimation (maximum likelihood and IRLS) appropriate for logistic models. It then presents an in-depth discussion of related terminology and examines logistic regression model development and interpretation of the results. After focusing on the construction and interpretation of various interactions, the author evaluates assumptions and goodness-of-fit tests that can be used for model assessment. He also covers binomial logistic regression, varieties of overdispersion, and a number of extensions to the basic binary and binomial logistic model. Both real and simulated data are used to explain and test the concepts involved. The appendices give an overview of marginal effects and discrete change as well as a 30-page tutorial on using Stata commands related to the examples used in the text. Stata is used for most examples while R is provided at the end of the chapters to replicate examples in the text. Apply the models to your own data Data files for examples and questions used in the text as well as code for user-authored commands are provided on the book's website, formatted in Stata, R, Excel, SAS, SPSS, and Limdep. See Professor Hilbe discuss the book.

Produktfakta

Språk Engelsk Engelsk Innbinding Innbundet
Utgitt 2009 Forfatter Joseph M. Hilbe
Forlag
Taylor & Francis
ISBN 9781420075755
Antall sider 656 Dimensjoner 15,6cm x 23,5cm x 3,6cm
Vekt 1043 gram Leverandør Bertram Trading Ltd
Emner og form Biology, life sciences, Probability & statistics

Andre produkter med samme artist(er)/medvirkende