<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
Asymptotic methods in statistical decision theory
β Scribed by Le Cam, Lucien Marie
- Publisher
- Springer-Verlag
- Year
- 1986
- Tongue
- English
- Leaves
- 766
- Series
- Springer series in statistics
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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, Gaussian, and Poisson experiments -- Asymptotically Gaussian experiments: local theory -- Asymptotic normality--global -- Posterior distributions and Bayes solutions -- An approximation theorem for certain sequential experiments -- Approximation by exponential families -- Sums of independent random variables -- Independent observations -- Independent identically distributed observations -- Appendix: Results from classical analysis.
β¦ Table of Contents
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, Gaussian, and Poisson experiments --
Asymptotically Gaussian experiments: local theory --
Asymptotic normality--global --
Posterior distributions and Bayes solutions --
An approximation theorem for certain sequential experiments --
Approximation by exponential families --
Sums of independent random variables --
Independent observations --
Independent identically distributed observations --
Appendix: Results from classical analysis.
β¦ Subjects
31
π SIMILAR VOLUMES
The book is a highlight in modern mathematical statistics which offers a lot of new concepts.
<p>"The book is well written but it is not for a beginner. It will be quite useful for workers doing research in the area of asymptotic theory of statistical inference." <em>Mathematical Reviews</em> </p> <p>"A very interesting feature of the book is the introductory remark at the beginning of each