Contiguity of probability measures some applications in statistics George G. Roussas. Cambridge tracts in mathematics and mathematical physics 63.

Roussas, George G.:

ISBN 10: 0521083540 / ISBN 13: 9780521083546

Published by Cambridge, at the University Press, 1972

About this Item

Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 ROU 9780521083546 Sprache: Englisch Gewicht in Gramm: 550.

Seller Inventory # 2504930

Bibliographic Details

• Title: Contiguity of probability measures some applications in statistics George G. Roussas. Cambridge tracts in mathematics and mathematical physics 63.
• Publisher: Cambridge, at the University Press
• Publication Date: 1972
• Language: English
• ISBN 10: 0521083540
• ISBN 13: 9780521083546
• Binding: Hardcover
• Weight: 550 grams
• Seller catalogs:
  • SA MATHEMATIK

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.