Regression analysis of count data / 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 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 0511066147; 9780511066146; 0511068271; 9780511068270; 0511117094; 9780511117091; 9780511814365; 0511814364Subject(s): Regression analysis | Econometrics | Analyse de régression | Économétrie | MATHEMATICS -- Probability & Statistics -- Regression Analysis | Econometrics | Regression analysis | Regressionsanalyse | Regressieanalyse | Tellen | EconometrieGenre/Form: Electronic book. | Electronic books. Additional physical formats: Print version:: Regression analysis of count data.DDC classification: 519.5/36 LOC classification: QA278.2 | .C36 1998ebOnline resources: Click here to access online
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 (pages 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.

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