Unbiased Estimators and Their Applications - Volume 1: Univariate Case (Paperback, Softcover reprint of the original 1st ed. 1993)

Statistical inferential methods are widely used in the study of various physical, biological, social, and other phenomena. Parametric estimation is one such method. Although there are many books which consider problems of statistical point estimation, this volume is the first to be devoted solely to the problem of unbiased estimation. It contains three chapters dealing, respectively, with the theory of point statistical estimation, techniques for constructing unbiased estimators, and applications of unbiased estimation theory. These chapters are followed by a comprehensive appendix which classifies and lists, in the form of tables, all known results relating to unbiased estimators of parameters for univariate distributions. About one thousand minimum variance unbiased estimators are listed. The volume also contains numerous examples and exercises. 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 graduate students.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Mathematics and Its Applications, 263
Release date:	September 2012
First published:	1993
Authors:	V.G. Voinov • M.S. Nikulin
Dimensions:	240 x 160 x 28mm (L x W x T)
Format:	Paperback
Pages:	524
Edition:	Softcover reprint of the original 1st ed. 1993
ISBN-13:	978-9401048705
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Professional & Technical > Civil engineering, surveying & building > General
LSN:	9401048703
Barcode:	9789401048705

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