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Regression analysis of count data / A. Colin Cameron and Davis, Pravin K. Trivedi, .

By: Cameron, Adrian Colin.
Contributor(s): Trivedi, P. K.
Material type: TextTextSeries: Econometric society monographs.Publisher: New York, NY : Cambridge University Press, 2013Edition: Second edition.Description: xxvii, 566 pages ; 24 cm.ISBN: 9781107014169 (hardback); 1107014166; 9781107667273 (paperback).Subject(s): Regression analysis | Econometrics | BUSINESS & ECONOMICS / EconometricsDDC classification: 519.536 Online resources: WorldCat details | E-Book Fulltext
Contents:
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.
Summary: "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
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book EWU Library
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Non-fiction 519.536 CAR 2013 (Browse shelf) Not for loan
Text Text EWU Library
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Non-fiction 519.536 CAR 2013 (Browse shelf) C-1 Not For Loan 27372
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Non-fiction 519.536 CAR 2013 (Browse shelf) C-2 Available 27373
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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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