George G. Judge, Ron C. Mittelhammer

Gebundenes Buch

An Information Theoretic Approach to Econometrics

Beschreibung

Intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods.

Autor

George 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.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 250
• Erscheinungstermin: 23. Februar 2012
• Englisch
• Abmessung: 235mm x 157mm x 18mm
• Gewicht: 518g
• ISBN-13: 9780521869591
• ISBN-10: 0521869595
• Artikelnr.: 33765252