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  3. Regression Analysis of Count Data
  • Cited by 1561
Publisher:
Cambridge University Press
Online publication date:
July 2014
Print publication year:
2013
Online ISBN:
9781139013567
DOI:
https://doi.org/10.1017/CBO9781139013567
Subjects:
Economics, Knowledge Management, Databases and Data Mining, Computer Science, Econometrics and Mathematical Methods
Series:
Econometric Society Monographs (53)
Information

Book description

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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