<p>This book grew out of lectures delivered at the University of California, Berkeley, over many years. The subject is a part of asymptotics in statistics, organized around a few central ideas. The presentation proceeds from the general to the particular since this seemed the best way to emphasize t
Statistical Decision Theory: Foundations, Concepts, and Methods
โ Scribed by James O. Berger (auth.)
- Publisher
- Springer New York
- Year
- 1980
- Tongue
- English
- Leaves
- 440
- Series
- Springer Series in Statistics
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages i-xv
Basic Concepts....Pages 1-39
Utility and Loss....Pages 40-60
Prior Information and Subjective Probability....Pages 61-88
Bayesian Analysis....Pages 89-168
Minimax Analysis....Pages 169-236
Invariance....Pages 237-280
Preposterior and Sequential Analysis....Pages 281-363
Complete and Essentially Complete Classes....Pages 364-392
Back Matter....Pages 393-428
โฆ Subjects
Statistics, general
๐ SIMILAR VOLUMES
Experiments--decision spaces -- Some results form decision theory: deficiencies -- Likelihood ratios and conical measures -- Some basic inequalities -- Sufficiency and insufficiency -- Domination, compactness, contiguity -- Some limit theorems -- Invariance properties -- Infinitely divisible, Gaussi
<span>UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Eleventh Edition, is a thorough yet accessible program designed to help readers overcome their apprehensions about statistics. The authors provide clear guidance and informal advice while showing the links between statistics and the world. To re
<span>Overcome any apprehension you may have as you master statistics with Brase/Brase/Seibert/Dolor's UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, 13th Edition. This thorough, yet reader-friendly, program provides clear guidance and informal advice while showing you the connections between stat