Selected Papers

Portada
Springer, 6 de des. 2012 - 518 pàgines
Herbert Robbins is widely recognized as one of the most creative and original mathematical statisticians of our time. The purpose of this book is to reprint, on the occasion of his seventieth birthday, some of his most outstanding research. In making selections for reprinting we have tried to keep in mind three potential audiences: (1) the historian who would like to know Robbins' seminal role in stimulating a substantial proportion of current research in mathematical statistics; (2) the novice who would like a readable, conceptu ally oriented introduction to these subjects; and (3) the expert who would like to have useful reference material in a single collection. In many cases the needs of the first two groups can be met simulta neously. A distinguishing feature of Robbins' research is its daring original ity, which literally creates new specialties for subsequent generations of statisticians to explore. Often these seminal papers are also models of exposition serving to introduce the reader, in the simplest possible context, to ideas that are important for contemporary research in the field. An example is the paper of Robbins and Monro which initiated the subject of stochastic approximation. We have also attempted to provide some useful guidance to the literature in various subjects by supplying additional references, particularly to books and survey articles, with some remarks about important developments in these areas.
 

Continguts

Empirical Bayes Methodology and Compound Decision Theory
1
103 Prediction and Estimation for the Compound Poisson Distribution
70
124 Some Thoughts on Empirical Bayes Estimation
87
Sequential Experimentation and Analysis
99
107 Adaptive Design in Regression and Control with T L Lai
136
129 Optimal Sequential Sampling From Two Populations with T L Lai
182
Sequential Estimation and Testing
197
64 On the Asymptotic Theory of FixedWidth Sequential Confidence
211
70 Iterated Logarithm Inequalities with D A Darling
254
83 Boundary Crossing Probabilities for the Wiener Process and Sample
271
91 A Class of Stopping Rules for Testing Parametric Hypotheses with
293
Probability and Inference
327
W Hoeffding
349
21 Application of the Method of Mixtures to Quadratic Forms in Normal
358
27 Minimum Variance Estimation Without Regularity Assumptions with
367
Measure with T E Harris
396

68 Finding the Size of a Finite Population with D A Darling
218
51 A Bayes Test of p Versus p with S Moriguti
225
116 Sequential Medical Trials with T L Lai B Levin and D Siegmund
247
Fair Games with Y S Chow
406
102 Maximally Dependent Random Variables with T L Lai
506
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