Contiguity of Probability Measures: Some Applications in Statistics

George G Roussas

ISBN 10: 0521083540 / ISBN 13: 9780521083546

Published by Cambridge University Press October 1972, 1972

About this Item

used hardcover in a dust jacket. SHRINKAGE TO FRONT PANEL OF DJ, STAINING TO INTERIOR. the jacket is somewhat worn about the edges and slightly scuffed, has only small tears at extremeties. corners slightly bumped, but pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws.

Seller Inventory # 1563547

Bibliographic Details

• Title: Contiguity of Probability Measures: Some Applications in Statistics
• Publisher: Cambridge University Press October 1972
• Publication Date: 1972
• Language: English
• ISBN 10: 0521083540
• ISBN 13: 9780521083546
• Binding: Hardcover
• Condition: Good+
• Dust Jacket Condition: Fair
• Seller catalogs:
  • MATH statistics

About this title

Synopsis

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.

Book 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.