Regression Analysis of Count Data
Abstract
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.
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- Authors
- Cameron, A. C., & Trivedi, P. K.
- Affiliations
- University of California, Davis (US)
- Indiana University Bloomington (US)
- ORCID
- Trivedi, Pravin K.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2013-05-27
- OpenAlex
- W1973628995
- Cited by
- 6,640
- References
- 0
- Citations by year
- 2026: 335 · 2025: 279 · 2024: 219 · 2023: 241 · 2022: 273 · 2021: 347 · 2020: 325 · 2019: 291 · 2018: 303 · 2017: 259 · 2016: 296 · 2015: 355 · 2014: 349 · 2013: 332 · 2012: 343
- FWCI
- 101.46
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Thammasat University Digital Collections (submittedVersion)
- TU Digital Collections (Thammasat University) (submittedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Keywords
- count data models, Poisson regression, bootstrap inference, simulation-based inference, panel data, endogenous regressors
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