Optimal Statistical Decisions

1. Auflage 2004
ISBN: 978-0-471-68029-1
Verlag: Wiley

Buch, Englisch, 512 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 731 g

Reihe: Wiley Classics Library

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists.

Autoren/Hrsg.

deGroot, Morris H

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

Foreword vii

Preface ix

Part One. Survey of Probability Theory

Chapter 1. Introduction 3

Chapter 2. Experiments, Sample Spaces, and Probability 6

Chapter 3. Random Variables, Random Vectors, and Distribution Functions 16

Chapter 4. Some Special Univariate Distributions 33

Chapter 5. Some Special Multivariate Distributions 48

Part Two. Subjective Probability and Utility

Chapter 6. Subjective Probability 69

Chapter 7. Utility 86

Part Three. Statistical Decision Problems

Chapter 8. Decision Problems 121

Chapter 9. Conjugate Prior Distributions 155

Chapter 10. Limiting Posterior Distributions 190

Chapter 11. Estimation, Testing Hypotheses, and linear Statistical Models 226

Part Four. Sequential Decisions

Chapter 12. Sequential Sampling 267

Chapter 13. Optimal Stopping 324

Chapter 14. Sequential Choice of Experiments 385

References 447

Supplementary Bibliography 466

Name Index 475

Subject Index 481

Über Autor(innen)

Morris DeGroot (now deceased) was a great statistician and gentleman of the 20th Century. Says friend and coworker Joseph B. ("Jay") Kadane of DeGroot in the Foreword. He was an institutional builder, as founder of the Statistics Department at Carnegie Mellon University and as first Executive Editor of Statistical Science. He was a wonderful colleague and friend, always ready for a chat about principles, a research problem, a departmental problem, a reference, or personal advice.