Contributions on Theory of Mathematical Statistics by Kei Takeuchi 4431552383 9784431552383

Contributions on Theory of Mathematical Statistics Kei Takeuchi – Ebook Instant Download/Delivery ISBN(s): 9784431552383,4431552383

Product details:

• ISBN 10:4431552383
• ISBN 13:9784431552383
• Author:Kei Takeuchi

This volume is a reorganized edition of Kei Takeuchi’s works on various problems in mathematical statistics based on papers and monographs written since the 1960s on several topics in mathematical statistics and published in various journals in English and in Japanese. They are organized into seven parts, each of which is concerned with specific topics and edited to make a consistent thesis. Sometimes expository chapters have been added. The topics included are as follows: theory of statistical prediction from a non-Bayesian viewpoint and analogous to the classical theory of statistical inference; theory of robust estimation, concepts, and procedures, and its implications for practical applications; theory of location and scale covariant/invariant estimations with derivation of explicit forms in various cases; theory of selection and testing of parametric models and a comprehensive approach including the derivation of the Akaike’s Information Criterion (AIC); theory of randomized designs, comparisons of random and conditional approaches, and of randomized and non-randomized designs, with random sampling from finite populations considered as a special case of randomized designs and with some separate independent papers included. Theory of asymptotically optimal and higher-order optimal estimators are not included, since most of them already have been published in the Joint Collected Papers of M. Akahira and K.

Table contents:

1. Theory of Statistical Prediction
2. Unbiased Estimation in Case of the Class of Distributions of Finite Rank
3. Some Theorems on Invariant Estimators of Location
4. Robust Estimation and Robust Parameter
5. Robust Estimation of Location in the Case of Measurement of Physical Quantity
6. A Uniformly Asymptotically Efficient Estimator of a Location Parameter
7. Theory of Randomized Designs
8. Some Remarks on General Theory for Unbiased Estimation of a Real Parameter of a Finite Population
9. The Studentized Empirical Characteristic Function and Its Application to Test for the Shape of Distribution
10. Tests of Univariate Normality
11. The Tests for Multivariate Normality
12. On the Problem of Model Selection Based on the Data
13. On Sum of 0–1 Random Variables I. Univariate Case
14. On Sum of 0–1 Random Variables II. Multivariate Case
15. Algebraic Properties and Validity of Univariate and Multivariate

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