Unbiased Estimators and their Applications: Volume 2: Multivariate Case

Unbiased Estimators and their Applications: Volume 2: Multivariate Case

by V.G. Voinov, M.S. Nikulin
     
 

This volume is a continuation of Unbiased Estimators and Their Applications, Vol. I: Univariate Case. It contains problems of parametric point estimation for multivariate probability distributions emphasizing problems of unbiased estimation. The volume consists of four chapters dealing, respectively, with some basic properties of multivariate continuous and

Overview

This volume is a continuation of Unbiased Estimators and Their Applications, Vol. I: Univariate Case. It contains problems of parametric point estimation for multivariate probability distributions emphasizing problems of unbiased estimation. The volume consists of four chapters dealing, respectively, with some basic properties of multivariate continuous and discrete distributions, the general theory of point estimation in multivariate case, techniques for constructing unbiased estimators and applications of unbiased estimation theory in the multivariate case. These chapters contain numerous examples, many applications and are followed by a comprehensive Appendix which classifies and lists, in the form of tables, all known results relating to unbiased estimators of parameter functions for multivariate distributions.
Audience: This volume will serve as a handbook on point unbiased estimation for researchers whose work involves statistics. It can also be recommended as a supplementary text for undergraduate and graduate students.

Product Details

ISBN-13:
9789048146765
Publisher:
Springer Netherlands
Publication date:
12/07/2010
Series:
Mathematics and Its Applications (closed) Series, #362
Edition description:
Softcover reprint of hardcover 1st ed. 1996
Pages:
262
Product dimensions:
6.14(w) x 9.21(h) x 0.58(d)

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