Approximation to Minimum K-Extended Bayes Risk in Sequences of Finite State Decision Problems and Games

Thumbnail Image
Supplemental Files
Date
1982-03-01
Authors
Vardeman, Stephen
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Person
Vardeman, Stephen
University Professor Emeritus
Research Projects
Organizational Units
Organizational Unit
Statistics
As leaders in statistical research, collaboration, and education, the Department of Statistics at Iowa State University offers students an education like no other. We are committed to our mission of developing and applying statistical methods, and proud of our award-winning students and faculty.
Organizational Unit
Industrial and Manufacturing Systems Engineering
The Department of Industrial and Manufacturing Systems Engineering teaches the design, analysis, and improvement of the systems and processes in manufacturing, consulting, and service industries by application of the principles of engineering. The Department of General Engineering was formed in 1929. In 1956 its name changed to Department of Industrial Engineering. In 1989 its name changed to the Department of Industrial and Manufacturing Systems Engineering.
Journal Issue
Is Version Of
Versions
Series
Department
StatisticsIndustrial and Manufacturing Systems Engineering
Abstract

This paper treats a sequence version of the finite state compound decision problem. k-extended standards for the risk of sequence compound procedures are described. Bounds are developed for the risks of a family of procedures employing artificial randomization. In addition it is noted that the given formulation of the problem includes a game theoretic situation and three additional solutions are offered for this specialization.

Comments

This article is published as "Approximation to minimum k-extended Bayes risk in sequences of finite state decision problems and games." Bulletin of the Institute of Mathematics Academia Sinica, 1982, Vol. 10, No. 1, pp. 35-52. Posted with permission.

Description
Keywords
Citation
DOI
Source
Subject Categories
Copyright
Fri Jan 01 00:00:00 UTC 1982
Collections