Regression Analysis of Count Data
1st Edition
Published on 21. December 2004
978-0-511-05983-4 (ISBN)
Description
Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as visits to a doctor, auto accidents or job hiring. This analysis provides a comprehensive account of models and methods to interpret such data. The authors have conducted research in the field for nearly fifteen years and in this work combine theory and practice to make sophisticated methods of analysis accessible to practitioners working with widely different types of data and software. The treatment will be useful to researchers in areas such as applied statistics, econometrics, operations research, actuarial studies, demography, biostatistics, quantitatively-oriented sociology and political science. The book may be used as a reference work on count models or by students seeking an authoritative overview. The analysis is complemented by template programs available on the Internet through the authors' homepages.
Reviews / Votes
'... a timely account of much of the relevant literature in this field.' Ivonia Rebelo, EconomicaMore details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Illustrations
37 Tables, unspecified; 11 Line drawings, unspecified
File size
2,79 MB
ISBN-13
978-0-511-05983-4 (9780511059834)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
A. Colin Cameron | Pravin K. Trivedi
Regression Analysis of Count Data
Book
09/1998
Cambridge University Press
€82.94
Article exhausted; check for reprint
Persons
Content
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. Non-random samples and simultaneity; 12. Flexible methods for counts; Notations and acronyms; Functions, Distributions and moments; Software; References.
