[图书][B] Econometric analysis of count data

R Winkelmann - 2008 - books.google.com
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 …

[引用][C] Econometric Analysis of Count Data

R Winkelmann - Springer Books, 2008 - ideas.repec.org
Econometric Analysis of Count Data IDEAS home Advanced search Economic literature:
papers, articles, software, chapters, books. Authors Institutions Rankings Help/FAQ …

[引用][C] Econometric Analysis of Count Data

R Winkelmann - 2008 - econpapers.repec.org
EconPapers: Econometric Analysis of Count Data EconPapers Economics at your fingertips
EconPapers Home About EconPapers Working Papers Journal Articles Books and Chapters …

Econometric Analysis of Count Data

R Winkelmann - 2008 - dl.acm.org
The book provides graduate students and researchers with an up-to-date survey of statistical
and econometric techniques for the analysis of count data, with a focus on conditional …

Econometric Analysis of Count Data

R Winkelmann - Lecture Notes in Economics and Mathematical …, 2008 - zora.uzh.ch
The book provides graduate students and researchers with an up-to-date survey of statistical
and econometric techniques for the analysis of count data, with a focus on conditional …

[图书][B] Econometric Analysis of Count Data

R Winkelmann - 2003 - books.google.com
The book provides graduate students and researchers with an up-to-date survey of statistical
and econometric techniques for the analysis of count data, with a focus on conditional …

Econometric Analysis of Count Data

R Winkelmann - Springer
" 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 …

[引用][C] Econometric Analysis of Count Data

R Winkelmann - (No Title), 2003 - cir.nii.ac.jp

[引用][C] Econometric Analysis of Count Data

R Winkelmann - (No Title), 1997 - cir.nii.ac.jp

Econometric Analysis of Count Data

R Winkelmann - Springer
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 …