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Applications of Measure Theory to Statistics

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Cover of 'Applications of Measure Theory to Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Calculation of Improper Integrals by Using Uniformly Distributed Sequences
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    Chapter 2 Infinite-Dimensional Monte Carlo Integration
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    Chapter 3 Structure of All Real-Valued Sequences Uniformly Distributed in $$[-\frac{1}{2}, \frac{1}{2}]$$ [ - 1 2 , 1 2 ] from the Point of View of Shyness
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    Chapter 4 On Moore–Yamasaki–Kharazishvili Type Measures and the Infinite Powers of Borel Diffused Probability Measures on R
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    Chapter 5 Objective and Strong Objective Consistent Estimates of Unknown Parameters for Statistical Structures in a Polish Group Admitting an Invariant Metric
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    Chapter 6 Why Null Hypothesis Is Rejected for Almost Every Infinite Sample by the Hypothesis Testing of a Maximal Reliability
Attention for Chapter 3: Structure of All Real-Valued Sequences Uniformly Distributed in $$[-\frac{1}{2}, \frac{1}{2}]$$ [ - 1 2 , 1 2 ] from the Point of View of Shyness
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Chapter title
Structure of All Real-Valued Sequences Uniformly Distributed in $$[-\frac{1}{2}, \frac{1}{2}]$$ [ - 1 2 , 1 2 ] from the Point of View of Shyness
Chapter number 3
Book title
Applications of Measure Theory to Statistics
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-45578-5_3
Book ISBNs
978-3-31-945577-8, 978-3-31-945578-5
Authors

Gogi Pantsulaia

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