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

By: Cameron, Adrian Colin Contributor(s): Trivedi, P. K Material type: Text

TextLanguage: English Series: Econometric society monographsPublication details: New York, NY : Cambridge University Press, 2013. Edition: 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

Contents:

TOC 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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Holdings ( 3 )
Title notes ( 5 )
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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
E-Book	Dr. S. R. Lasker Library, EWU E-book	Non-fiction	519.536 CAR 2013 (Browse shelf(Opens below))		Not for loan
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	519.536 CAR 2013 (Browse shelf(Opens below))	C-1	Not For Loan	27372
Text	Dr. S. R. Lasker Library, EWU Circulation Section	Non-fiction	519.536 CAR 2013 (Browse shelf(Opens below))	C-2	Available	27373

Total holds: 0

Includes bibliographical references (pages 511-541) and indexes.

TOC 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

Sagar Shahanawaz

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