On Isotonic Selection Rules for Binomial Populations Better than a Standard.

Abstract

The problem of selecting populations better than a control with respect to a location parameter under ordering prior has been considered. In this paper we consider the case of binomial populations (important for discrete data) for which the parameters of interest are not the location parameters as was the case studied in 4. We consider both cases when the parameter of control is known and unknown. For the case of known control, we propose an isotonic procedure which is given. The results in this section deal with both cases, namely, the sample sizes all equal, and unequal. Some recursive relations are derived for computing the constants required for the proposed procedure. When the control is unknown, a conditional isotonic procedure is proposed. This procedure provides a conservative solution for the unconditional procedure. Brief tables of associated constants for the proposed procedures are given.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1982
Accession Number
ADA118548

Entities

People

  • Shanti Gupta
  • Wen-tao Huang

Organizations

  • Purdue University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Binomials
  • Computations
  • Contracts
  • Governments
  • Mathematical Analysis
  • Mathematics
  • Military Research
  • Neurobehavioral Manifestations
  • Observation
  • Probability
  • Statistics
  • United States
  • United States Government
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Fields of Study

  • Mathematics

Readers

  • Regression Analysis.