Regression analysis of count data / A. Colin Cameron and Davis, Pravin K. Trivedi, .
By: Cameron, Adrian Colin
Contributor(s): Trivedi, P. K
Material type: 
TextLanguage: English Series: Econometric society monographsPublisher: New York, NY : Cambridge University Press, 2013Edition: Second editionDescription: xxvii, 566 pages ; 24 cmISBN: 9781107014169 (hardback); 1107014166; 9781107667273 (paperback)Subject(s): Regression analysis | Econometrics | BUSINESS & ECONOMICS / EconometricsDDC classification: 519.536 LOC classification: QA278.2 | .C36 2013Online resources: WorldCat details | E-Book Fulltext | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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EWU Library E-book | Non-fiction | 519.536 CAR 2013 (Browse shelf) | Not for loan | ||||
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EWU Library Reserve Section | Non-fiction | 519.536 CAR 2013 (Browse shelf) | C-1 | Not For Loan | 27372 | ||
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EWU Library Circulation Section | Non-fiction | 519.536 CAR 2013 (Browse shelf) | C-2 | Available | 27373 |
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| 519.535 REM 2012 Methods of multivariate analysis / | 519.536 ANR 2010 Regression with linear predictors / | 519.536 APP 2005 Applied linear statistical models / | 519.536 CAR 2013 Regression analysis of count data / | 519.536 DRA 2011 Applied regression analysis / | 519.536 FRG 2010 Regression modeling with actuarial and financial applications / | 519.536 HOA 2013 Applied logistic regression. |
Includes bibliographical references (pages 511-541) and indexes.
Table of contents Model specification and estimation --
Basic count regression --
Generalized count regression --
Model evaluation and testing --
Empirical illustrations --
Time series data --
Multivariate data --
Longitudinal data --
Endogenous regressors and selection --
Flexible methods for counts --
Bayesian methods for counts --
Measurement errors --
A. Notation and acronyms --
B. Functions, distributions, and moments --
C. Software.
"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 provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors have conducted research in the field for more than twenty-five years. In this book, they combine theory and practice
Applied Statistics
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