Applications of Measure Theory to Statistics
Author | : Gogi Pantsulaia |
Publisher | : Springer |
Total Pages | : 147 |
Release | : 2016-12-22 |
ISBN-10 | : 9783319455785 |
ISBN-13 | : 3319455788 |
Rating | : 4/5 (788 Downloads) |
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.