Regression analysis of count data
Author(s)
Bibliographic Information
Regression analysis of count data
(Econometric Society monographs, no. 30)
Cambridge University Press, 1998
- : hardback
- : paperback
Available at 49 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Bibliography: p. [379]-398
Includes indexes
Description and Table of Contents
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.
Table of Contents
- 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.
by "Nielsen BookData"