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Statistical decision theory and related topics II : proceedings of a symposium held at Purdue University, May 17-19, 1976 /
Statistical Decision Theory and Related Topics.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Academic Press,
�1977.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 050 | 4 | |a QA279.4 |b .S74 1977 | |
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| 245 | 0 | 0 | |a Statistical decision theory and related topics II : |b proceedings of a symposium held at Purdue University, May 17-19, 1976 / |c edited by Shanti S. Gupta and David S. Moore. |
| 260 | |a New York : |b Academic Press, |c �1977. | ||
| 300 | |a 1 online resource (xiii, 478 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | |3 Use copy |f Restrictions unspecified |2 star |5 MiAaHDL | ||
| 533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2011. |5 MiAaHDL | ||
| 538 | |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |u http://purl.oclc.org/DLF/benchrepro0212 |5 MiAaHDL | ||
| 583 | 1 | |a digitized |c 2011 |h HathiTrust Digital Library |l committed to preserve |2 pda |5 MiAaHDL | |
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Front Cover; Statistical Decision Theory and Related Topics II; Copyright Page; Table of Contents; CONTRIBUTORS TO THE SYMPOSIUM; PREFACE; CHAPTER 1. SELECTING THE LARGEST INTERACTION IN A TWO-FACTOR EXPERIMENT; 1. Introduction; 2. Model and Statistical as sumptions; 4. Selection procedure, and the choice of sample size; 5. Expression for the PCS; 6. LF-configuration of the yij for the 2xc case; 7. Directions of future research; 8. Acknowledgment; References; CHAPTER 2. IMPROVED MINIMAX ESTIMATORS OF NORMAL MEAN VECTORS FOR CERTAIN TYPES OF COVARIANCE MATRICES; 1. Introduction. | |
| 505 | 8 | |a 2. Basic results3. Applications; References; CHAPTER 3. ON SELECTING A SET OF GOOD POPULATIONS; 1. Introduction; 2. Notation and statement of the problem; 3. The optimal invariant procedure; 4. The number of populations is large; 5. Unknown Bayes, empirical Bayes and compound theory; Appendix; References; CHAPTER 4. CLOSURE THEOREMS FOR SEQUENTIAL-DESIGN PROCESSES; 1. Introduction; 2. Description of the process; 3. Basic theorems for a compact action space; 4. Basic theorems for general actions spaces; 5. Bayes procedures; 6. Available actions dependent on past observations. | |
| 505 | 8 | |a 7. Dynamic programmingReferences; CHAPTER 5. A SUBSET SELECTION PROBLEM EMPLOYING A NEW CRITERION; 1. Introduction and summary; 2. Loss function; 3. Normal model; 4. Computations; 5. Comparison of stategies; 6. Estimates based on Monte Carlo Calculations; 7. Polemics; APPENDIX; References; CHAPTER 6. EXAMPLES RELEVANT TO THE ROBUSTNESS OF APPLIED INFERENCES; 1. Introdcution; 2. Bayesian robustness; 3. Examples; 4. Concluding remark; References; CHAPTER 7. ON SOME r-MINIMAX SELECTION AND MULTIPLE COMPARISON PROCEDURES; 1. Introduction; 2. Selection procedures for the ""best"" populations. | |
| 505 | 8 | |a ReferencesCHAPTER 8. MORE ON INCOMPLETE AND BOUNDEDLY COMPLETE FAMILIES OF DISTRIBUTIONS; 1. Introduction; 2. Distributions symmetric about; 3. Two-sample families; 4. Families restricted by a nonlinear condition; References; CHAPTER 9. ROBUST COVARIANCES; 1. Introduction; 2. Maximum likelihood estimates; 3. Estimates determined by implicit equations; 4. Breakdown properties; 5. A note on computation; 6. Large samples properties; 7. Least informative distributions: location; 8. Least informative distributions: covariance; 9. Spherical symmetry? A note on models; Appendix; Acknowledgement. | |
| 505 | 8 | |a ReferencesCHAPTER 10. ASYMPTOTICALLY MINIMAX ESTIMATION OF CONCAVE AND CONVEX DISTRIBUTION FUNCTIONS. II; 0. Introduction; 5. Estimating concave F under conditions (5.3) ; CHAPTER 11. SEQUENTIAL DECISION ABOUT A NORMAL MEAN; 1. Introduction; 2. Probability of error; 3. Expected sample size; References; CHAPTER 12.A REDUCTION THEOREM FOR CERTAIN SEQUENTIAL EXPERIMENTS; 1. Introduction; 2. Notation and main assumptions; 3. A reduction procedure; 4. Independent observations; 5. Some applications to tests and estimates; References; CHAPTER 13. ROBUST DESIGNS FOR REGRESSION PROBLEMS. | |
| 500 | |a 1. Introduction. | ||
| 520 | |a Statistical Decision Theory and Related Topics. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Statistical decision |v Congresses. | |
| 650 | 6 | |a Prise de d�ecision (Statistique) |0 (CaQQLa)201-0002656 |v Congr�es. |0 (CaQQLa)201-0378219 | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Statistical decision |2 fast |0 (OCoLC)fst01132059 | |
| 655 | 2 | |a Congress |0 (DNLM)D016423 | |
| 655 | 7 | |a proceedings (reports) |2 aat |0 (CStmoGRI)aatgf300027316 | |
| 655 | 7 | |a Conference papers and proceedings |2 fast |0 (OCoLC)fst01423772 | |
| 655 | 7 | |a Conference papers and proceedings. |2 lcgft | |
| 655 | 7 | |a Actes de congr�es. |2 rvmgf |0 (CaQQLa)RVMGF-000001049 | |
| 700 | 1 | |a Gupta, Shanti Swarup, |d 1925- | |
| 700 | 1 | |a Moore, David S. | |
| 710 | 2 | |a Purdue University. | |
| 776 | 0 | 8 | |i Print version: |a Gupta, Shanti S. |t Statistical Decision Theory and Related Topics : Proceedings of a Symposium Held at Purdue University, May 17-19, 1976. |d Burlington : Elsevier Science, �2014 |z 9780123075604 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780123075604 |z Texto completo |