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Rainer Winkelmann - Econometric Analysis of Count Data - 9783540776482 - V9783540776482
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Econometric Analysis of Count Data

€ 135.73
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Description for Econometric Analysis of Count Data hardcover. Surveys statistical and econometric techniques for the analysis of count data, with a focus on conditional distribution models. This book presents Poisson regression model. It discusses testing and estimation from frequentist and Bayesian perspectives. Num Pages: 320 pages, 20 black & white tables, biography. BIC Classification: KCH. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 20. Weight in Grams: 669.
The “count data” ?eld has further ?ourished since the previous edition of this book was published in 2003. The development of new methods has not slowed down by any means, and the application of existing ones in applied work has expanded in many areas of social science research. This, in itself, would be reason enough for updating the material in this book, to ensure that it continues to provide a fair representation of the current state of research. In addition, however, I have seized the opportunity to undertake some major changes to the organization of the book itself. The core ... Read more

Product Details

Format
Hardback
Publication date
2008
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
320
Condition
New
Number of Pages
320
Place of Publication
Berlin, Germany
ISBN
9783540776482
SKU
V9783540776482
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Econometric Analysis of Count Data
From the reviews: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION "Winkleman has published numerous articles on using content models in economics and other social science journals. Because these are both applied and theoretical, he is well suited to write a monograph in this area. This book provides a very useful survey for anyone doing serious research using ... Read more

Goodreads reviews for Econometric Analysis of Count Data


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