Regression analysis of count data /
A. Colin Cameron, University of California, Davis, Pravin K. Trivedi, University of Queensland, Indiana University, Bloomington.
- Second edition.
- Cambridge : Cambridge University Press, 2013.
- 1 online resource (xxvii, 566 pages) : digital, PDF file(s).
- Econometric Society monographs ; 53 .
- Econometric Society monographs ; 53. .
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book, now in its second edition, provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on Bayesian methods.