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Statistical decision theory and related topics III. Volume 2

Author: Shanti Swarup Gupta; James O Berger; Purdue University.
Publisher: New York : Academic Press, 1982.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Statistical Decision Theory and Related Topics III.
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Print version:
Gupta, Shanti S.
Statistical Decision Theory and Related Topics III.
New York : Academic Press, 1982
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Shanti Swarup Gupta; James O Berger; Purdue University.
ISBN: 9781483259550 1483259552
OCLC Number: 898772153
Notes: Proceedings of the Third Purdue Symposium on Statistical Decision Theory and Related Topics, held at Purdue University on June 1-5, 1981.
Description: 1 online resource (551 pages) : illustrations
Contents: Front Cover; Statistical Decision Theory and Related Topics III; Copyright Page; Table of Contents; CONTRIBUTORS; PREFACE; CONTENTS OF VOLUME 1; CHAPTER 1. SOME LOCALLY OPTIMAL SUBSET SELECTION RULES BASED ON RANKS; I. INTRODUCTION; II. SELECTING THE BEST POPULATION; III. COMPARISON WITH A CONTROL; REFERENCES; CHAPTER 2. CERTAIN BOUNDS ON THE CLASS OF ADMISSIBLE ESTIMATORS IN CONTINUOUS EXPONENTIAL FAMILIES; I. INTRODUCTION; II. A PRELIMINARY LEMMA; III. INADMISSIBILITY RESULTS; IV. REMARKS AND GENERALIZATIONS; ACKNOWLEDGMENT; REFERENCES. CHAPTER 3. RIDGE TYPE ESTIMATORS OF MULTINOMIAL CELL PROBABILITIESI. INTRODUCTION AND SUMMARY; II. RIDGE ESTIMATION; III. RIDGE ESTIMATORS OF p; IV. SMALL SAMPLE SITUATIONS; V. DISCUSSION; ACKNOWLEDGMENT; REFERENCES; CHAPTER 4. ASYMPTOTICALLY OPTIMAL PROCEDURES FOR SEQUENTIAL ADAPTIVE SELECTION OF THE BEST OF SEVERAL NORMAL MEANS; 1. INTRODUCTION; II. ELIMINATION PROCEDURES WITH VECTOR AT A TIME SAMPLING; III. ELIMINATION PROCEDURES WITH ADAPTIVE SAMPLING; REFERENCES; CHAPTER 5. MODEL ROBUST CONFIDENCE INTERVALS II; I. INTRODUCTION; II. CONFIDENCE INTERVAL; III. CONFIDENCE BANDS; REFERENCES. CHAPTER 6. ADAPTIVE DESIGN AND THE MULTIPERIOD CONTROL PROBLEMI. INTRODUCTION AND SUMMARY; II. BAYES SOLUTION TO THE MULTIPERIOD CONTROL PROBLEM IN THE CASE OF KNOWN B; REFERENCES; CHAPTER 7. ON THE RISK OF BAYES ESTIMATES; I. INTRODUCTION; II. MAIN ASSUMPTIONS AND GENERAL INEQUALITIES; III. TESTS BETWEEN HELLINGER BALLS; IV. BOUNDS ON BAYES RISKS; V. COMPARISON WITH OTHER ESTIMATES; REFERENCES; CHAPTER 8. THE MINIMAL· COMPLETE CLASS OF PROCEDURES FOR COMBINING INDEPENDENT NONCENTRAL F-TESTS; I. INTRODUCTION; II. COMPLETE CLASS RESULTS; III. THE CONSTANT r(v, u). IV. PRELIMINARIES FOR THE NONPARAMETRIC TESTSV. INVERSE NORMAL PROCEDURE (1.10); VI. INVERSE LOGISTIC PROCEDURE (1.11); VII. SUMS OF pi 's (1.12); VIII. FISHER'S PARAMETRIC TEST (1. 3); IX. THE TEST (1.14); APPENDIX: COMPUTATIONS; REFERENCES; CHAPTER 9. RIDGE ESTIMATORS AS CONSTRAINED GENERALIZED LEAST SQUARES; I. INTRODUCTION; II. CONVEXITY OF THE GENERALIZED SUM OF SQUARES AND CONCAVITY OF THE CONSTRAINT; III. CONSTRAINED OPTIMIZATION; IV. CONCLUDING REMARKS; ACKNOWLEDGEMENT; REFERENCES. Chapter 10. bounds for a k-fold integral for location and scale parameter models with applications to statistical ranking and selection problemsi. introduction; ii. the main bounds; iii. approximations; iv. limiting distribution of the estimator of the pcs for the location parameter model; v. bounds on the probability function of a correct complete ranking; appendix to section 3; references; chapter 11. the asymptotic distribution theory of one sample signed rank statistic; i. introduction; ii. preliminaries; iii. the asymptotic normality of sn+; iv. the rate of convergence; acknowledgment.
Responsibility: edited by Shanti S. Gupta and James O. Berger.

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Statistical Decision Theory and Related Topics III.

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