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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 15: Algebraic Properties and Validity of Univariate and Multivariate Cornish–Fisher Expansion
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Chapter title
Algebraic Properties and Validity of Univariate and Multivariate Cornish–Fisher Expansion
Chapter number 15
Book title
Contributions on Theory of Mathematical Statistics
Published by
Springer, Tokyo, January 2020
DOI 10.1007/978-4-431-55239-0_15
Book ISBNs
978-4-43-155238-3, 978-4-43-155239-0
Authors

Kei Takeuchi, Takeuchi, Kei

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