Comparison of Statistical Experiments Download

Author: Erik Torgersen
Edition:
Binding: Hardcover
ISBN: 0521250307

Comparison of Statistical Experiments (Encyclopedia of Mathematics and its Applications)

The present work examines the various methods of comparing statistical experiments. Download Comparison of Statistical Experiments (Encyclopedia of Mathematics and its Applications) from rapidshare, mediafire, 4shared. 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 Search and find a lot of education books in many category availabe for free download.

Comparison of Statistical Experiments Download

Comparison of Statistical Experiments education books for free. 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 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

Related education books