Logistic Regression Models

Hilbe, Joseph M.

ISBN 10: 1420075756 / ISBN 13: 9781420075755

Editore: Chapman and Hall/CRC, Boca Raton, Florida, 2009

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In a laminated hardcover with white titles to spine and front and a diagram to front. No dust jacket. 656 pp. The book is in very good condition with just a trace of shelf-wear to the extremities of the cover. The binding is tight although a repair has been carried out with sellotape to the pages of the index to secure the rear hinge. There is a minor mark to the half title and following page, otherwise the pages are clean and unmarked. Codice articolo 910784

Dati bibliografici

Titolo: Logistic Regression Models

Casa editrice: Chapman and Hall/CRC, Boca Raton, Florida

Data di pubblicazione: 2009

Legatura: Hardcover

Condizione: Very Good

Condizione sovraccoperta: No Jacket

Edizione: 1st Edition

Descrizione articolo

Riassunto:

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.

Informazioni sull?autore:

Hilbe, Joseph M.