Statistical Decision Theory and Related Topics
eBook - PDF

Statistical Decision Theory and Related Topics

Proceedings of a Symposium Held at Purdue University, May 17-19, 1976

  1. 493 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistical Decision Theory and Related Topics

Proceedings of a Symposium Held at Purdue University, May 17-19, 1976

About this book

Statistical Decision Theory and Related Topics II is a compendium of papers presented at an international symposium on Statistical Decision Theory and Related Topics held at Purdue University in May, 1976. The researchers invited to participate, and to author papers for this volume, are among the leaders in the field of Statistical Decision Theory. This collection features works on general decision theory, multiple decision theory, optimal experimental design, and robustness. Mathematicians and statisticians will find the book highly insightful and informative.

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Information

Publisher
Academic Press
Year
2014
Print ISBN
9780123075604
eBook ISBN
9781483260310
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Statistical Decision Theory and Related Topics II
  3. Copyright Page
  4. Table of Contents
  5. CONTRIBUTORS TO THE SYMPOSIUM
  6. PREFACE
  7. CHAPTER 1. SELECTING THE LARGEST INTERACTION IN A TWO-FACTOR EXPERIMENT
  8. CHAPTER 2. IMPROVED MINIMAX ESTIMATORS OF NORMAL MEAN VECTORS FOR CERTAIN TYPES OF COVARIANCE MATRICES
  9. CHAPTER 3. ON SELECTING A SET OF GOOD POPULATIONS
  10. CHAPTER 4. CLOSURE THEOREMS FOR SEQUENTIAL-DESIGN PROCESSES
  11. CHAPTER 5. A SUBSET SELECTION PROBLEM EMPLOYING A NEW CRITERION
  12. CHAPTER 6. EXAMPLES RELEVANT TO THE ROBUSTNESS OF APPLIED INFERENCES
  13. CHAPTER 7. ON SOME r-MINIMAX SELECTION AND MULTIPLE COMPARISON PROCEDURES
  14. CHAPTER 8. MORE ON INCOMPLETE AND BOUNDEDLY COMPLETE FAMILIES OF DISTRIBUTIONS
  15. CHAPTER 9. ROBUST COVARIANCES
  16. CHAPTER 10. ASYMPTOTICALLY MINIMAX ESTIMATION OF CONCAVE AND CONVEX DISTRIBUTION FUNCTIONS. II
  17. CHAPTER 11. SEQUENTIAL DECISION ABOUT A NORMAL MEAN
  18. CHAPTER 12. A REDUCTION THEOREM FOR CERTAIN SEQUENTIAL EXPERIMENTS
  19. CHAPTER 13. ROBUST DESIGNS FOR REGRESSION PROBLEMS
  20. CHAPTER 14. LARGE SAMPLE PROPERTIES OF NEAREST NEIGHBOR DENSITY FUNCTION ESTIMATORS
  21. CHAPTER 15. A STOCHASTIC VERSION OF WEAK MAJORIZATION, WITH APPLICATIONS
  22. CHAPTER 16. SYNERGISTIC EFFECTS AND THE CORRESPONDING OPTIMAL VERSION OF THE MULTIPLE COMPARISON PROBLEM
  23. CHAPTER 17. ESTIMATING COVARIANCES IN A MULTIVARIATE NORMAL DISTRIBUTION
  24. CHAPTER 18. SIMULTANEOUS ESTIMATION OF PARAMETERS -A COMPOUND DECISION PROBLEM
  25. CHAPTER 19. ROBUST BAYESIAN ESTIMATION
  26. CHAPTER 20. THE DIRICHLET-TYPE 1 INTEGRAL AND ITS APPLICATIONS TO MULTINOMIAL-RELATED PROBLEMS
  27. CHAPTER 21. OPTIMAL SEARCH DESIGNS, OR DESIGNS OPTIMAL UNDER BIAS FREE OPTIMALITY CRITERIA
  28. CHAPTER 22. OPTIMAL DESIGNS FOR INTEGRATED VARIANCE IN POLYNOMIAL REGRESSION
  29. CHAPTER 23. ASYMPTOTIC EXPANSIONS FOR THE DISTRIBUTION FUNCTIONS OF LINEAR COMBINATIONS OF ORDER STATISTICS
  30. CHAPTER 24. ASYMPTOTIC PROPERTIES OF BAYES TESTS OF NONPARAMETRIC HYPOTHESES
  31. CHAPTER 25. OBSTRUCTIVE DISTRIBUTIONS IN A SEQUENTIAL RANK-ORDER TEST BASED ON LEHMANN ALTERNATIVES
  32. CHAPTER 26. OPTIMUM DESIGNS FOR FINITE POPULATIONS SAMPLING

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Yes, you can access Statistical Decision Theory and Related Topics by Shanti S. Gupta,David S. Moore in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over 1.5 million books available in our catalogue for you to explore.