£105.94

Springer Unbiased Estimators and their Applications Vol 2

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Description

Expand your knowledge of statistical theory 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 the direct continuation of the first volume focusing on the univariate case. This text provides a deep look into parametric point estimation for multivariate probability distributions. It is designed to help readers master the complexities of unbiased estimation through a structured approach. The content is organized into four comprehensive chapters that cover the basic properties of multivariate continuous and discrete distributions, the general theory of point estimation in multivariate cases, and specific techniques for constructing unbiased estimators. By exploring the applications of unbiased estimation theory in multivariate settings, this book serves as a vital resource for those studying econometrics and advanced mathematical statistics. It provides the necessary framework to handle multivariate data and complex probability distributions effectively.

Key Features

Advanced study of parametric point estimation for multivariate probability distributions.

Comprehensive coverage of both multivariate continuous and discrete distributions.

Detailed instruction on the general theory of point estimation in multivariate cases.

Practical techniques for the construction of unbiased estimators.

Direct continuation of the univariate case volume for sequential learning.

In-depth exploration of unbiased estimation theory applications in multivariate settings.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 January 1996
Listed Since
15 December 2006

Barcode

No barcode data available

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