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Applications of Measure Theory to Statistics

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Applications of Measure Theory to Statistics Synopsis

This book aims to put strong reasonable mathematical senses in notions of objectivity and subjectivity for consistent estimations in a Polish group by using the concept of Haar null sets in the corresponding group. This new approach - naturally dividing the class of all consistent estimates of an unknown parameter in a Polish group into disjoint classes of subjective and objective estimates - helps the reader to clarify some conjectures arising in the criticism of null hypothesis significance testing. The book also acquaints readers with the theory of infinite-dimensional Monte Carlo integration recently developed for estimation of the value of infinite-dimensional Riemann integrals over infinite-dimensional rectangles. The book is addressed both to graduate students and to researchers active in the fields of analysis, measure theory, and mathematical statistics.

About This Edition

ISBN: 9783319455778
Publication date: 4th January 2017
Author: Gogi Pantsulaia
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 134 pages
Genres: Probability and statistics
Applied mathematics
Mathematical physics
Calculus and mathematical analysis
Topology