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Unbiased Estimators and Their Applications: Volume 2: Multivariate Case

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
PublishedOn
2010-12-07
Title
Unbiased Estimators and Their Applications: Volume 2: Multivaria
Artist
Not Specified
ISBN
9789048146765

About this product

Product Identifiers

Publisher
Springer Netherlands
ISBN-10
9048146763
ISBN-13
9789048146765
eBay Product ID (ePID)
109185162

Product Key Features

Number of Pages
IX, 262 Pages
Language
English
Publication Name
Unbiased Estimators and Their Applications : Volume 2: Multivariate Case
Subject
Probability & Statistics / Stochastic Processes, Probability & Statistics / Multivariate Analysis, Probability & Statistics / General, Civil / General, Discrete Mathematics
Publication Year
2010
Type
Textbook
Author
V. G. Voinov, M. S. Nikulin
Subject Area
Mathematics, Technology & Engineering
Series
Mathematics and Its Applications Ser.
Format
Trade Paperback

Dimensions

Item Weight
16 Oz
Item Length
9.4 in
Item Width
6.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
22
Series Volume Number
362
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.544
Table Of Content
Preface. 1. Basic Remarks on Multivariate Probability Distributions. 2. Elements of the Theory of Point Statistical Estimation in the Multivariate Case. 3. Techniques for Constructing Unbiased Estimators. 4. Applications of Unbiased Estimators. Appendix 1. Tables of Unbiased Estimators. Appendix 2. On Evaluating Some Multivariable Integrals. Appendix 3. Partitions and Some Multivariable Statistical Problems. References. Subject Index. Author Index.
Synopsis
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., 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
LC Classification Number
QA276-280

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