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Unbiased Estimators and their Applications

Volume 2: Multivariate Case

Produktform: Buch / Einband - fest (Hardcover)

This volume is a continuation of 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. 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. weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-0-7923-3939-7 / 978-0792339397 / 9780792339397

Verlag: Springer Netherland

Erscheinungsdatum: 31.01.1996

Seiten: 262

Auflage: 1

Zielgruppe: Research

Autor(en): M.S. Nikulin, V.G. Voinov

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