Cambridge University Press eBooks· 2013
Regression Analysis of Count Data
- 6,472citations
- 2013year
Short summary
This book, now in its second edition, offers a comprehensive and updated guide to regression methods for analyzing event frequency data, integrating theory with practical applications.
AI-generated from the title and abstract; the full text is not read.
Key points
- Comprehensive and updated account of models and methods for count data regression.
- Combines theory and practice for accessibility to researchers and practitioners.
- New material includes bootstrap/simulation inference, quantile regression, and Bayesian methods.
- Covers diverse applications in social and natural sciences, econometrics, biostatistics, etc.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Cambridge University Press eBooks, 2013 · DOI ↗
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Field: Management Science and Operations Research
Management Science and Operations ResearchDecision Sciences