Logo

Efficient Estimation With A Priori Information

Small book cover: Efficient Estimation With A Priori Information

Efficient Estimation With A Priori Information
by

Publisher: Yale University Press
ISBN/ASIN: 0300016077
ISBN-13: 9780300016079
Number of pages: 188

Description:
This book presents an attempt at unifying certain aspects of econometric theory by embedding them in a more general statistical framework. The unifying feature is the use of a priori information and the basic tool is the traditional Cramer-Rao inequality.

Download or read it online for free here:
Download link
(4.1MB, PDF)

Similar books

Book cover: Statistical Inference in Dynamic Economic ModelsStatistical Inference in Dynamic Economic Models
by - John Wiley & Sons
Quantitative economic study has a threefold basis: it is necessary to formulate economic hypotheses, to collect appropriate data, and to confront hypotheses with data. The latter task, statistical inference in economics, is discussed in this book.
(7717 views)
Book cover: The Analysis of Economic Time SeriesThe Analysis of Economic Time Series
by - The Principia Press
The object of this book is to set forth the present status of the problem of analyzing that very extensive set of data known as economic time series. This perplexing problem has engaged the attention of economists and statisticians for many years.
(8561 views)
Book cover: Production Economics: A Dual Approach to Theory and ApplicationsProduction Economics: A Dual Approach to Theory and Applications
by - North-Holland
Chapters: Cost, Revenue, and Profit Functions; Symmetric Duality and Polar Production Functions; Applications of Profit Functions; General Linear Profit Function; Duality, Intermediate Inputs and Value-Added; Hick's Aggregation Theorem; etc.
(9358 views)
Book cover: Structural Analysis of Discrete Data with Econometric ApplicationsStructural Analysis of Discrete Data with Econometric Applications
by - The MIT Press
The book provides a methodological foundation for the analysis of economic problems involving discrete data, and charts the current frontiers of this subject. It is also useful for the researchers involved in the structural analysis of discrete data.
(13564 views)