Contributions on Theory of Mathematical Statistics

Kei Takeuchi ()
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Kei Takeuchi: Professor Emeritus, The University of Tokyo

in Springer Books from Springer

Date: 2020
ISBN: 978-4-431-55239-0
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Chapters in this book:

Ch Chapter 1 Theory of Statistical Prediction

Kei Takeuchi

Ch Chapter 10 Tests of Univariate Normality

Kei Takeuchi

Ch Chapter 11 The Tests for Multivariate Normality

Kei Takeuchi

Ch Chapter 12 On the Problem of Model Selection Based on the Data

Kei Takeuchi

Ch Chapter 13 On Sum of 0–1 Random Variables I. Univariate Case

Kei Takeuchi

Ch Chapter 14 On Sum of 0–1 Random Variables II. Multivariate Case

Kei Takeuchi

Ch Chapter 15 Algebraic Properties and Validity of Univariate and Multivariate Cornish–Fisher Expansion

Kei Takeuchi

Ch Chapter 2 Unbiased Estimation in Case of the Class of Distributions of Finite Rank

Kei Takeuchi

Ch Chapter 3 Some Theorems on Invariant Estimators of Location

Kei Takeuchi

Ch Chapter 4 Robust Estimation and Robust Parameter

Kei Takeuchi

Ch Chapter 5 Robust Estimation of Location in the Case of Measurement of Physical Quantity

Kei Takeuchi

Ch Chapter 6 A Uniformly Asymptotically Efficient Estimator of a Location Parameter

Kei Takeuchi

Ch Chapter 7 Theory of Randomized Designs

Kei Takeuchi

Ch Chapter 8 Some Remarks on General Theory for Unbiased Estimation of a Real Parameter of a Finite Population

Kei Takeuchi

Ch Chapter 9 The Studentized Empirical Characteristic Function and Its Application to Test for the Shape of Distribution

Kei Takeuchi

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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-4-431-55239-0

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DOI: 10.1007/978-4-431-55239-0

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