Contiguity of Probability Measures - Some Applications in Statistics (Paperback)


This Tract presents an elaboration of the notion of 'contiguity', which is a concept of 'nearness' of sequences of probability measures. It provides a powerful mathematical tool for establishing certain theoretical results with applications in statistics, particularly in large sample theory problems, where it simplifies derivations and points the way to important results. The potential of this concept has so far only been touched upon in the existing literature, and this book provides the first systematic discussion of it. Alternative characterizations of contiguity are first described and related to more familiar mathematical ideas of a similar nature. A number of general theorems are formulated and proved. These results, which provide the means of obtaining asymptotic expansions and distributions of likelihood functions, are essential to the applications which follow.

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Product Description

This Tract presents an elaboration of the notion of 'contiguity', which is a concept of 'nearness' of sequences of probability measures. It provides a powerful mathematical tool for establishing certain theoretical results with applications in statistics, particularly in large sample theory problems, where it simplifies derivations and points the way to important results. The potential of this concept has so far only been touched upon in the existing literature, and this book provides the first systematic discussion of it. Alternative characterizations of contiguity are first described and related to more familiar mathematical ideas of a similar nature. A number of general theorems are formulated and proved. These results, which provide the means of obtaining asymptotic expansions and distributions of likelihood functions, are essential to the applications which follow.

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Product Details

General

Imprint

Cambridge UniversityPress

Country of origin

United Kingdom

Series

Cambridge Tracts in Mathematics

Release date

November 2008

Availability

Expected to ship within 12 - 17 working days

First published

November 2008

Authors

Dimensions

216 x 140 x 15mm (L x W x T)

Format

Paperback - Trade

Pages

264

ISBN-13

978-0-521-09095-7

Barcode

9780521090957

Categories

LSN

0-521-09095-4



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