Unbiased estimators and their applications
by V. G. Voinov, V.G. Voinov, and M.S. Nikulin
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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.
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Subjects
Estimation theory, Point processes, Probability & statistics, Stochastics, Prediction Theory, Mathematics, Science/Mathematics, Probability & Statistics - General, Discrete Mathematics, Engineering - Civil, Mathematics / Statistics, Mathematics-Discrete Mathematics, Technology-Engineering - Civil| Edition | Availability |
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1
Unbiased Estimators and their Applications: Volume 2: Multivariate Case (Mathematics and Its Applications)
January 31, 1996, Springer
Hardcover
in English
- 1 edition
0792339398 9780792339397
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2
Unbiased estimators and their applications
1993, Kluwer Academic Publishers
in English
0792323823 9780792323822
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Edition Notes
Includes bibliographical references (v. 1, p. 497-518; v. 2, 241-251) and indexes.
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| September 17, 2019 | Edited by Kaustubh Chakraborty | Added notes and description |
| July 31, 2019 | Edited by MARC Bot | associate edition with work OL3928381W |
| December 4, 2010 | Edited by Open Library Bot | Added subjects from MARC records. |
| April 28, 2010 | Edited by Open Library Bot | Linked existing covers to the work. |
| December 10, 2009 | Created by WorkBot | add works page |