Applications of Measure Theory to Statistics

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

Download or read book Applications of Measure Theory to Statistics 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. 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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"...the text is user friendly to the topics it considers and should be very accessible...Instructors and students of statistical measure theoretic courses will