menu
{ "item_title" : "Comparison of Statistical Experiments", "item_author" : [" Erik Torgersen "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/52/125/030/0521250307_b.jpg", "price_data" : { "retail_price" : "315.00", "online_price" : "315.00", "our_price" : "315.00", "club_price" : "315.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Comparison of Statistical Experiments|Erik Torgersen

Comparison of Statistical Experiments

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9780521250306
  • ISBN-10: 0521250307
  • Publisher: Cambridge University Press
  • Publish Date: March 1991
  • Dimensions: 9.21 x 6.14 x 1.5 inches
  • Shipping Weight: 2.52 pounds
  • Page Count: 696

Related Categories

You May Also Like...

    1

BAM Customer Reviews