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Statistical decision theory and related topics III. Volume 2 /

Statistical Decision Theory and Related Topics III.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores Corporativos: Purdue University, Purdue Symposium on Statistical Decision Theory and Related Topics
Otros Autores: Gupta, Shanti Swarup, 1925-, Berger, James O.
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: New York : Academic Press, 1982.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Statistical decision theory and related topics III.  |n Volume 2 /  |c edited by Shanti S. Gupta and James O. Berger. 
260 |a New York :  |b Academic Press,  |c 1982. 
300 |a 1 online resource (551 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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588 0 |a Print version record. 
500 |a Proceedings of the Third Purdue Symposium on Statistical Decision Theory and Related Topics, held at Purdue University on June 1-5, 1981. 
504 |a Includes bibliographical references. 
505 0 |a 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. 
505 8 |a 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. 
505 8 |a 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). 
505 8 |a 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. 
505 8 |a 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. 
520 |a Statistical Decision Theory and Related Topics III. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Statistical decision  |v Congresses. 
650 6 |a Prise de décision (Statistique)  |v Congrès. 
650 7 |a MATHEMATICS  |x Applied.  |2 bisacsh 
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700 1 |a Berger, James O. 
710 2 |a Purdue University. 
711 2 |a Purdue Symposium on Statistical Decision Theory and Related Topics  |n (3rd :  |d 1981 :  |c Purdue University) 
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