Collected Papers
Statistical Inference and Probability (1951 - 1963)
Published on 20. December 1984
Other
Microfilm
502 pages
978-0-387-96003-6 (ISBN)
Description
From the Preface: "Jack Kiefer's sudden and unexpected death in August, 1981, stunned his family, friends, and colleagues. Memorial services in Cincinnati, Ohio, Berkeley, California, and Ithaca, New York, shortly after his death, brought forth tributes from so many who shared in his life. But it was only with the passing of time that those who were close to him or to his work were able to begin assessing Jack's impact as a person and intellect. About one year after his death, an expression of what Jack meant to all of us took place at the 1982 annual meeting of the Institute of Mathematical Statistics and the American Statistical Association. Jack had been intimately involved in the affairs of the IMS as a Fellow since 1957, as a member of the Council, as President in 1970, as Wald lecturer in 1962, and as a frequent author in its journals. It was doubly fitting that the site of this meeting was Cincinnati, the place of his birth and residence of his mother, other family, and friends. Three lectures were presented there at a Memorial Session - by Jerry Sacks dealing with Jack's personal life, by Larry Brown dealing with Jack's contributions in statistics and probability, and by Henry Wynn dealing with Jack's contributions to the design of experiments. These three papers, together with Jack's bibliography, were published in the Annals of Statistics and are included as an introduction to these volumes."
More details
Edition
1985 ed.
Language
English
Place of publication
New York, NY
United States
Target group
Professional and scholarly
Research
Illustrations
Bibliography
Dimensions
Height: 251 mm
Width: 165 mm
Weight
2530 gr
ISBN-13
978-0-387-96003-6 (9780387960036)
DOI
10.1007/978-1-4613-8505-9
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Schweitzer Classification
Other editions
Additional editions
Jack Carl Kiefer | Lawrence D. Brown | Ingram Olkin
Collected Papers I
Statistical Inference and Probability (1951 - 1963)
Book
11/2012
Springer
€85.55
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Content
[1] Almost Subminimax and Biased Minimax Procedures.- [2] The Inventory Problem: I. Case of Known Distributions of Demand.- [3] The Inventory Problem: II. Case of Unknown Distributions of Demand.- [4] Stochastic Estimation of the Maximum of a Regression Function.- [5] Sequential Minimax Estimation for the Rectangular Distribution with Unknown Range.- [6] On Minimum Variance Estimators.- [7] On Wald's Complete Class Theorems.- [7a] Correction of a proof.- [8] Sequential Minimax Search for a Maximum.- [9] Sequential Decision Problems for Processes with Continuous Time Parameter. Testing Hypotheses.- [9a] Correction to "Sequential Decision Problems for Processes with Continuous Time Parameter Testing Hypotheses".- [10] Sequential Decision Problems for Processes with Continuous Time Parameter. Problems of Estimation.- [11] On the Optimal Character of the (s, S) Policy in Inventory Theory.- [12] On the Theory of Queues with Many Servers.- [13] On Tests of Normality and Other Tests of Goodness of Fit Based on Distance Methods.- [14] On the Characteristics of the General Queueing Process with Applications to Random Walk.- [15] Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator.- [16] Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters.- [17] Sequential Tests of Hypotheses About the Mean Occurrence Time of a Continuous Parameter Poisson Process.- [18] Some Properties of Generalized Sequential Probability Ratio Tests.- [19] Invariance, Minimax Sequential Estimation, and Continuous Time Processes.- [20] Optimum Sequential Search and Approximation Methods Under Minimum Regularity Assumptions.- [21] On the Deviations of the Empiric Distribution Function of Vector Chance Variables.- [24] K-sample Analogues of the Kolmogorov-Smirnov and Cramér-V. Mises Tests.- [25] Asymptotic Minimax Character of the Sample Distribution Function for Vector Chance Variables.- [27] A Functional Equation Technique for Obtaining Wiener Process Probabilities Associated with Theorems of Kolmogorov-Smirnov Type.- [30] Distribution Free Tests of Independence Based on the Sample Distribution Function.- [32] On Large Deviations of the Empiric D.F. of Vector Chance Variables and a Law of the Iterated Logarithm.- [35] Channels with Arbitrarily Varying Channel Probability Functions.- [36] Minimax Character of Hotelling's T2 Test in the Simplest Case.- [37] Asymptotically Optimum Sequential Inference and Design.- [38] Local and Asymptotic Minimax Properties of Multivariate Tests.- [39] Minimax Character of the R2-Test in the Simplest Case.- [42] Admissible Bayes Character of T2-, R2-, and Other Fully Invariant Tests for Classical Multivariate Normal Problems.- [42a] Correction to "Admissible Bayes Character of T2-, R2-, and Other Fully Invariant Tests for Classical Multivariate Normal Problems".- [45] Multivariate Optimality Results.- [47] On Bahadur's Representation of Sample Quantiles.- [48] Statistical Inference.- [49] Statistical Inference.- [50] On the Deviations in the Skorokhod-Strassen Approximation Scheme.- [51] Old and New Methods for Studying Order Statistics and Sample Quantiles.- [52] Deviations Between the Sample Quantile Process and the Sample D.F.- [54] Iterated Logarithm Analogues for Sample Quantiles When Pn ?0.- [56] Skorohod Embedding of Multivariate RV's and the Sample DF.- [62] Review of the paper "Bayesian Analysis of Generic Relations in Agaricales".- [65] Asymptotically Minimax Estimation of Concave and Convex Distribution Functions.- [66] Large Sample Comparison of Tests and Empirical Bayes Procedures.- [67] Admissibility of Conditional Confidence Procedures.- [68] Asymptotically Minimax Estimation of Concave and Convex Distribution Functions. II.- [69] Conditional Confidence Statements and Confidence Estimators.- [70] The Ideas of Conditional Confidence in the Simplest Setting.- [71] Conditional Confidence and Estimated Confidence in Multidecision Problems (with Applications to Selection and Ranking).- [73] The Foundations of Statistics-Are There Any?.- [81] Sequential Statistical Methods.- [82] Comments on Taxonomy, Independence, and Mathematical Models (with Reference to a Methodology of Machol and Singer).- [91] Optimum Rates for Non-Parametric Density and Regression Estimates, Under Order Restrictions.- [93] Eight Lectures on Mathematical Statistics.- [94] Conditional Inference.- [99] Book Review of The Advanced Theory of Statistics, Volume 2, "Inference and Relationship".- [100] Book Review of The Savory Wild Mushroom.- [101] Book Review of A Field Guide to Western Mushrooms.- [107] Note on Asymptotic Efficiency of M. L. Estimators in Nonparametric Problems.- [108] Math 371 Final Exam.- Commentary on Papers [36], [38], [39].- Commentary on Paper [45].- Commentary on Paper [4].