All listings for this product
Best-selling in Non-Fiction Books
Save on Non-Fiction Books
- AU $72.89Trending at AU $75.47
- AU $50.10Trending at AU $53.12
- AU $18.13Trending at AU $23.88
- AU $32.08Trending at AU $45.10
- AU $14.60Trending at AU $16.60
- AU $18.13Trending at AU $27.15
- AU $26.13Trending at AU $29.65
About this product
- DescriptionThis book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic ecometric models and methods. Because most data are observational, practitioners work with indirect isy observations and ill-posed ecometric models in the form of stochastic inverse problems. Consequently, traditional ecometric methods in many cases are t applicable for answering many of the quantitative questions that analysts wish to ask. After initial chapters deal with parametric and semiparametric linear probability models, the focus turns to solving nparametric stochastic inverse problems. In succeeding chapters, a family of power divergence measure-likelihood functions are introduced for a range of traditional and ntraditional ecometric-model problems. Finally, within either an empirical maximum likelihood or loss context, Ron C. Mittelhammer and George G. Judge suggest a basis for choosing a member of the divergence family.
- Author BiographyGeorge G. Judge is a Professor at the University of California, Berkeley. Professor Judge has also served on the faculty of the University of Illinois, University of Connecticut, and Oklahoma State University and has been a visiting professor at several US and European universities. He is the coauthor or editor of 15 books in econometrics and related fields and author or coauthor of more than 150 articles in refereed journals. His research explores specification and evaluation of statistical decision rules, improved inference methods, and parametric and semiparametric estimation and information recovery in the case of ill-posed inverse problems with noise. Judge is a Fellow of the Econometric Society and the American Agricultural Economics Association. Ron C. Mittelhammer is Regents Professor of Economic Sciences and Statistics at Washington State University. He is the author of Mathematical Statistics for Economics and Business (1996), lead coauthor with George G. Judge and Douglas J. Miller of Econometric Foundations (Cambridge University Press, 2000), and the author of numerous book chapters and articles in refereed economics, statistics, and econometrics journals. Professor Mittelhammer's current research focuses on econometric theory for applications in a range of economics fields. With more than two decades of graduate-level teaching experience, his skill as a teacher of statistics and econometrics is documented by teaching evaluations and awards. He served as president of the Agricultural and Applied Economics Association in 2009-10.
- Author(s)George G. Judge,Ron C. Mittelhammer
- PublisherCambridge University Press
- Date of Publication12/12/2011
- SubjectEconomics: Textbooks & Study Guides
- Place of PublicationCambridge
- Country of PublicationUnited Kingdom
- ImprintCambridge University Press
- Content Note13 b/w illus. 7 tables
- Weight460 g
- Width152 mm
- Height228 mm
- Spine18 mm
This item doesn't belong on this page.
Thanks, we'll look into this.