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New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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. The second edition provides the most comprehensive and up
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Regression Analysis of Count Data Paperback - 2013
by A. Colin Cameron; Pravin K. Trivedi
Details
- Title Regression Analysis of Count Data
- Author A. Colin Cameron; Pravin K. Trivedi
- Binding Paperback
- Edition Second edition
- Pages 596
- Volumes 1
- Language ENG
- Publisher Cambridge University Press, New York
- Date 2013-05-27
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- ISBN 9781107667273 / 1107667275
- Weight 1.75 lbs (0.79 kg)
- Dimensions 8.9 x 6 x 1.3 in (22.61 x 15.24 x 3.30 cm)
-
Themes
- Aspects (Academic): Science/Technology Aspects
- Library of Congress subjects Econometrics, Regression analysis
- Library of Congress Catalog Number 2012043350
- Dewey Decimal Code 330.015
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Regression Analysis of Count Data
by A. Colin Cameron
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Regression Analysis of Count Data (Econometric Society Monographs, Series Number 53)
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Paperback / softback. New. 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. The second edition provides the most comprehensive and up-to-date account of models and methods to interpret such data.
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Regression Analysis of Count Data
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Regression Analysis of Count Data (Econometric Society Monographs, Series Number 53)
by Cameron, A. Colin
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Regression Analysis of Count Data by Cameron, A. Colin
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ISBN: 9781107667273Cambridge University Press, 01 January 2013
Paperback, 596 pages
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 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 book may be used as a reference work on count models or by students seeking an authoritative overview. Complementary material in the form of data sets, template programs, and bibliographic resources can… Read More
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