On a Sequential Subset Selection Procedure

Abstract

This paper deals with the problem of selecting the best population through the sequential selection approach. Based on the modified likelihood ratio of the probability density function of some invariant sufficient statistics, a sequential subset selection procedure is proposed. When the procedure terminates, one can assert with a guaranteed probability P, that the best population is included in the selected subset and that each selected population is within some fixed distance from the best population.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 1988
Accession Number
ADA196307

Entities

People

  • Shanti Gupta
  • Tachen Liang

Organizations

  • Purdue University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Computing-Related Activities
  • Data Science
  • Distribution Functions
  • Functions (Mathematics)
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Military Research
  • Normal Distribution
  • Observation
  • Probability
  • Probability Density Functions
  • Statistical Inference
  • Statistics
  • Universities

Fields of Study

  • Mathematics

Readers

  • Statistical inference.