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Joint Statistical Papers of Akahira and Takeuchi Book

Joint Statistical Papers of Akahira and Takeuchi
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  • Joint Statistical Papers of Akahira and Takeuchi
  • Written by author Takeuchi Kei
  • Published by World Scientific Publishing Company, Incorporated, August 2003
Buy Digital  USD$138.00

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Foreword
Introduction
1Characterizations of Prediction Sufficiency (Adequacy) in terms of Risk Functions1
2On the Second Order Asymptotic Efficiency of Estimators in Multiparameter Cases8
3On Gram-Charlier-Edgeworth Type Expansion of the Sums of Random Variables (I)17
4On Gram-Charlier-Edgeworth Type Expansion of the Sums of Random Variables (II)38
5On the Second Order Asymptotic Efficiencies of Estimators45
6Extension of Edgeworth Type Expansion of the Distribution of the Sums of I.I.D. Random Variables in Non-Regular Cases80
7On Gram-Charlier-Edgeworth Type Expansion of the Sums of Random Variables (III) Multivariate Cases90
8Third Order Asymptotic Efficiency of Maximum Likelihood Estimator for Multiparameter Exponential Case101
9Asymptotic Optimality of the Generalized Bayes Estimator124
10On the Second Order Asymptotic Efficiency of Unbiased Confidence Intervals133
11Remarks on the Asymptotic Efficiency and Inefficiency of Maximum Probability Estimators145
12Discretized Likelihood Methods - Asymptotic Properties of Discretized Likelihood Estimators (DLE's)152
13Asymptotic Optimality of the Generalized Bayes Estimator in Multiparameter Cases170
14Note on Non-Regular Asymptotic Estimation - What "Non-Regularity" Implies183
15A Note on Prediction Sufficiency (Adequacy) and Sufficiency187
16Third Order Asymptotic Efficiency and Asymptotic Completeness of Estimators191
17On Asymptotic Deficiency of Estimators in Pooled Samples in the Presence of Nuisance Parameters199
18Estimation of a Common Parameter for Pooled Samples from the Uniform Distributions221
19A Note on the Minimum Variance Unbiased Estimation When the Fisher Information is Infinity231
20Bhattacharyya Bound of Variances of Unbiased Estimators in Non-Regular Cases237
21A Note on Minimum Variance247
22A Note on Optimum Spacing of Observations from a Continuous Time Simple Markov Process254
23On the Bound of the Asymptotic Distribution of Estimators when the Maximum Order of Consistency Depends on the Parameter260
24On the Definition of Asymptotic Expectation276
25Locally Minimum Variance Unbiased Estimator in a Discontinuous Density Function286
26The Lower Bound for the Variance of Unbiased Estimators for One-Directional Family of Distributions301
27Second Order Asymptotic Efficiency in terms of Asymptotic Variances of the Sequential Maximum Likelihood Estimation Procedures319
28Second and Third Order Asymptotic Completeness of the Class of Estimators325
29Higher Order Asymptotics in Estimation for Two-sided Weibull Type Distributions342
30Third Order Asymptotic Efficiency of the Sequential Maximum Likelihood Estimation Procedure370
31First Order Asymptotic Efficiency in Semiparametric Models Implies Infinite Asymptotic Deficiency397
32Loss of Information Associated with the Order Statistics and Related Estimators in the Double Exponential Distribution Case404
33Bootstrap Method and Empirical Process415
34Second Order Asymptotic Efficiency in Terms of the Asymptotic Variance of Sequential Estimation Procedures in the Presence of Nuisance Parameters429
35Asymptotic Efficiency of Estimators for a Location Parameter Family of Densities with the Bounded Support446
36A Definition of Information Amount Applicable to Non-regular Cases455
37Unbiased Estimation in Sequential Binomial Sampling477
38Interval Estimation with Varying Confidence Levels490
39Second Order Asymptotic Bound for the Variance of Estimators for the Double Exponential Distribution506
40On the Application of the Minkowski-Farkas Theorem to Sampling Designs514
41Randomized Confidence Intervals of a Parameter for a Family of Discrete Exponential Type Distributions517
42The Existence of a Test with the Largest Order of Consistency in the Case of a Two-sided Gamma Type Distribution543
43The Higher Order Large-Deviation Approximation for the Distribution of the Sum of Independent Discrete Random Variables558
44Information Inequalities in a Family of Uniform Distributions580
Permission589


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