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Foreword | ||
Introduction | ||
1 | Characterizations of Prediction Sufficiency (Adequacy) in terms of Risk Functions | 1 |
2 | On the Second Order Asymptotic Efficiency of Estimators in Multiparameter Cases | 8 |
3 | On Gram-Charlier-Edgeworth Type Expansion of the Sums of Random Variables (I) | 17 |
4 | On Gram-Charlier-Edgeworth Type Expansion of the Sums of Random Variables (II) | 38 |
5 | On the Second Order Asymptotic Efficiencies of Estimators | 45 |
6 | Extension of Edgeworth Type Expansion of the Distribution of the Sums of I.I.D. Random Variables in Non-Regular Cases | 80 |
7 | On Gram-Charlier-Edgeworth Type Expansion of the Sums of Random Variables (III) Multivariate Cases | 90 |
8 | Third Order Asymptotic Efficiency of Maximum Likelihood Estimator for Multiparameter Exponential Case | 101 |
9 | Asymptotic Optimality of the Generalized Bayes Estimator | 124 |
10 | On the Second Order Asymptotic Efficiency of Unbiased Confidence Intervals | 133 |
11 | Remarks on the Asymptotic Efficiency and Inefficiency of Maximum Probability Estimators | 145 |
12 | Discretized Likelihood Methods - Asymptotic Properties of Discretized Likelihood Estimators (DLE's) | 152 |
13 | Asymptotic Optimality of the Generalized Bayes Estimator in Multiparameter Cases | 170 |
14 | Note on Non-Regular Asymptotic Estimation - What "Non-Regularity" Implies | 183 |
15 | A Note on Prediction Sufficiency (Adequacy) and Sufficiency | 187 |
16 | Third Order Asymptotic Efficiency and Asymptotic Completeness of Estimators | 191 |
17 | On Asymptotic Deficiency of Estimators in Pooled Samples in the Presence of Nuisance Parameters | 199 |
18 | Estimation of a Common Parameter for Pooled Samples from the Uniform Distributions | 221 |
19 | A Note on the Minimum Variance Unbiased Estimation When the Fisher Information is Infinity | 231 |
20 | Bhattacharyya Bound of Variances of Unbiased Estimators in Non-Regular Cases | 237 |
21 | A Note on Minimum Variance | 247 |
22 | A Note on Optimum Spacing of Observations from a Continuous Time Simple Markov Process | 254 |
23 | On the Bound of the Asymptotic Distribution of Estimators when the Maximum Order of Consistency Depends on the Parameter | 260 |
24 | On the Definition of Asymptotic Expectation | 276 |
25 | Locally Minimum Variance Unbiased Estimator in a Discontinuous Density Function | 286 |
26 | The Lower Bound for the Variance of Unbiased Estimators for One-Directional Family of Distributions | 301 |
27 | Second Order Asymptotic Efficiency in terms of Asymptotic Variances of the Sequential Maximum Likelihood Estimation Procedures | 319 |
28 | Second and Third Order Asymptotic Completeness of the Class of Estimators | 325 |
29 | Higher Order Asymptotics in Estimation for Two-sided Weibull Type Distributions | 342 |
30 | Third Order Asymptotic Efficiency of the Sequential Maximum Likelihood Estimation Procedure | 370 |
31 | First Order Asymptotic Efficiency in Semiparametric Models Implies Infinite Asymptotic Deficiency | 397 |
32 | Loss of Information Associated with the Order Statistics and Related Estimators in the Double Exponential Distribution Case | 404 |
33 | Bootstrap Method and Empirical Process | 415 |
34 | Second Order Asymptotic Efficiency in Terms of the Asymptotic Variance of Sequential Estimation Procedures in the Presence of Nuisance Parameters | 429 |
35 | Asymptotic Efficiency of Estimators for a Location Parameter Family of Densities with the Bounded Support | 446 |
36 | A Definition of Information Amount Applicable to Non-regular Cases | 455 |
37 | Unbiased Estimation in Sequential Binomial Sampling | 477 |
38 | Interval Estimation with Varying Confidence Levels | 490 |
39 | Second Order Asymptotic Bound for the Variance of Estimators for the Double Exponential Distribution | 506 |
40 | On the Application of the Minkowski-Farkas Theorem to Sampling Designs | 514 |
41 | Randomized Confidence Intervals of a Parameter for a Family of Discrete Exponential Type Distributions | 517 |
42 | The Existence of a Test with the Largest Order of Consistency in the Case of a Two-sided Gamma Type Distribution | 543 |
43 | The Higher Order Large-Deviation Approximation for the Distribution of the Sum of Independent Discrete Random Variables | 558 |
44 | Information Inequalities in a Family of Uniform Distributions | 580 |
Permission | 589 |
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