£105.94

Springer Unbiased Estimators and their Applications Vol 2

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Description

Expand your mathematical knowledge with Unbiased Estimators and their Applications: Volume 2: Multivariate Case. Published by Springer as part of the Mathematics and Its Applications series (362), this volume serves as a direct continuation of the Univariate Case volume. It provides a deep look into parametric point estimation for multivariate probability distributions. This text is structured to guide readers through the complexities of multivariate estimation. It covers basic properties of both continuous and discrete multivariate distributions, alongside the general theory of point estimation. Readers will find practical techniques for constructing unbiased estimators and see how these theories are applied in multivariate scenarios. With numerous examples included throughout the chapters, this book is a valuable resource for those studying advanced statistical theory and mathematical applications.

Key Features

Continues the study from Volume 1: Univariate Case for comprehensive learning.

Covers essential properties of both continuous and discrete multivariate distributions.

Provides a detailed general theory of point estimation within multivariate cases.

Includes specific techniques for the construction of unbiased estimators.

Offers practical applications of unbiased estimation theory in multivariate settings.

Contains numerous examples to support the study of parametric point estimation.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
08 December 2010
Listed Since
06 September 2010

Barcode

No barcode data available

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