Comparison of Statistical Experiments
Comparison of Statistical Experiments
The present work examines the various methods of comparing statistical experiments. It begins by introducing statistical experiments and convex analysis. This chapter is followed by others on game theory, decision theory, and vector lattices, which are a natural framework for studying statistical problems. The notion of deficiency, which measures the difference in information between two experiments, is then introduced. The relation between it and other concepts, such as sufficiency, randomization, distance, ordering, equivalence, completeness and convergence are also explored. The remainder of the book is devoted to applications of the theory to linear models, local comparison of differentiable experiments, majorization, and discussions of topics complementary to the main text.
Reviews & endorsements
"The book may serve as a textbook for the mathematical background of statistics, but it is also of great importance for research. Hopefully, the monograph will inspire many statisticians to apply the methods presented also in practical problems." Arnold Janssen, Mathematical Reviews
"...impressive volume....It is very rich in content and replete with examples....quite self contained and fairly easy to read." Lucin Le Cam, SIAM Review
Product details
March 2009Paperback
9780521102827
696 pages
234 × 156 × 37 mm
0.96kg
Available
Table of Contents
- Preface
- Acknowledgements
- 1. Statistical experiments within the measure theoretical framework
- 2. Convexity
- 3. Two-person, zero-sum games
- 4. Statistical decision problems
- 5. Vector lattices
- 6. Deficiencies
- 7. Equivalence, representations and functionals of experiments
- 8. Comparison of linear models
- 9. Majorisation and approximate majorisation
- 10. Complements: Further examples, problems and comments
- List of symbols
- Author index
- Additional references
- Subject index.
