TWO-ACTION COMPOUND DECISION PROBLEMS.

Abstract

Asymptotically optimal methods are given for deciding between two alternative actions in situations such as those occurring in routine lot by lot acceptance sampling where essentially the same decision problem arises repeatedly and accumulated past information can be used to advantage. A linear cost structure is used and no assumptions are made concerning the existence of a priori probability distributions of the relevant unknown parameters. Procedures are given which take advantage of empirical dependencies appearing in the sequences of unknown parameter values. Rates of convergence to optimality are obtained. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 11, 1966
Accession Number
AD0632535

Entities

People

  • M. V. Johns Jr.

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Convergence
  • Mathematics
  • Probability
  • Probability Distributions
  • Sampling
  • Sequences

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Systems Analysis and Design