Regression analysis of count data
Author(s)
Bibliographic Information
Regression analysis of count data
（Econometric Society monographs, 53）
Cambridge University Press, 2013
2nd ed
- : hardcover
- : pbk
Available at / 43 libraries
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National Graduate Institute for Policy Studies Library (GRIPS Library)
: pbk331.19||E19||5301374461
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Institute of Materials and Systems for Sustainability, Nagoya University未来材料研
: pbk331.19||C41579100
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Note
Includes bibliographical references (p. 511-541) and indexes
Description and Table of Contents
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.
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. Endogenous regressors and selection
- 11. Flexible methods for counts
- 12. Bayesian methods for counts
- 13. Measurement errors.
by "Nielsen BookData"