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Regression analysis of count data [electronic resource] / A. Colin Cameron, Pravin K. Trivedi.

By: Cameron, Adrian Colin.
Contributor(s): Trivedi, P. K.
Material type: TextTextSeries: Econometric Society monographs: no. 30.Publisher: Cambridge, UK ; New York, NY, USA : Cambridge University Press, 1998Description: 1 online resource (xvii, 411 p.) : ill.ISBN: 0511066147 (electronic bk.); 9780511066146 (electronic bk.); 0511068271 (electronic bk.); 9780511068270 (electronic bk.); 0511117094 (electronic bk.); 9780511117091 (electronic bk.); 9780511814365 (electronic bk.); 0511814364 (electronic bk.).Subject(s): Regression analysis | Econometrics | Econometr�ia | Analyse de r�egression | �Econom�etrie | MATHEMATICS -- Probability & Statistics -- Regression Analysis | Regressieanalyse | Tellen | EconometrieGenre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: Regression analysis of count data.DDC classification: 519.5/36 Online resources: EBSCOhost
Contents:
Introduction Model Specification and Estimation Basic Count Regression Generalized Count Regression Model Evaluation and Testing Empirical Illustrations Time Series Data Multivariate Data Longitudinal Data Measurement Errors Nonrandom Samples and Simultaneity Flexible Methods for Counts Functions, Distributions, and Moments Software.
Summary: Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as visits to a doctor. This analysis provides the most comprehensive and up-to-date account of models and methods to interpret such data.
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Includes bibliographical references (p. [379]-398) and indexes.

1. Introduction 2. Model Specification and Estimation 3. Basic Count Regression 4. Generalized Count Regression 5. Model Evaluation and Testing 6. Empirical Illustrations 7. Time Series Data 8. Multivariate Data 9. Longitudinal Data 10. Measurement Errors 11. Nonrandom Samples and Simultaneity 12. Flexible Methods for Counts App. B. Functions, Distributions, and Moments App. C. Software.

Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as visits to a doctor. This analysis provides the most comprehensive and up-to-date account of models and methods to interpret such data.

Description based on print version record.

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