Collected Papers I

[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].