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Contributions on Theory of Mathematical Statistics

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Cover of 'Contributions on Theory of Mathematical Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Theory of Statistical Prediction
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    Chapter 2 Unbiased Estimation in Case of the Class of Distributions of Finite Rank
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    Chapter 3 Some Theorems on Invariant Estimators of Location
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    Chapter 4 Robust Estimation and Robust Parameter
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    Chapter 5 Robust Estimation of Location in the Case of Measurement of Physical Quantity
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    Chapter 6 A Uniformly Asymptotically Efficient Estimator of a Location Parameter
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    Chapter 7 Theory of Randomized Designs
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    Chapter 8 Some Remarks on General Theory for Unbiased Estimation of a Real Parameter of a Finite Population
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    Chapter 9 The Studentized Empirical Characteristic Function and Its Application to Test for the Shape of Distribution
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    Chapter 10 Tests of Univariate Normality
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    Chapter 11 The Tests for Multivariate Normality
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    Chapter 12 On the Problem of Model Selection Based on the Data
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    Chapter 13 On Sum of 0–1 Random Variables I. Univariate Case
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    Chapter 14 On Sum of 0–1 Random Variables II. Multivariate Case
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    Chapter 15 Algebraic Properties and Validity of Univariate and Multivariate Cornish–Fisher Expansion
Attention for Chapter 1: Theory of Statistical Prediction
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Chapter title
Theory of Statistical Prediction
Chapter number 1
Book title
Contributions on Theory of Mathematical Statistics
Published by
Springer, Tokyo, January 2020
DOI 10.1007/978-4-431-55239-0_1
Book ISBNs
978-4-43-155238-3, 978-4-43-155239-0
Authors

Kei Takeuchi, Takeuchi, Kei

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