Applications of Measure Theory to Statistics

Download or Read eBook Applications of Measure Theory to Statistics PDF written by Gogi Pantsulaia and published by Springer. This book was released on 2016-12-22 with total page 147 pages. Available in PDF, EPUB and Kindle.
Applications of Measure Theory to Statistics
Author :
Publisher : Springer
Total Pages : 147
Release :
ISBN-10 : 9783319455785
ISBN-13 : 3319455788
Rating : 4/5 (85 Downloads)

Book Synopsis Applications of Measure Theory to Statistics by : Gogi Pantsulaia

Book excerpt: 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.


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