Accession Number:

ADA014119

Title:

Multiple Decision Rules for Comparing Several Populations with a Fixed Known Standard.

Descriptive Note:

Technical rept.,

Corporate Author:

CORNELL UNIV ITHACA N Y DEPT OF OPERATIONS RESEARCH

Personal Author(s):

Report Date:

1975-06-01

Pagination or Media Count:

26.0

Abstract:

Independent observations are available from k univariate distributions indexed by a real parameter theata. It is desired to select that distribution with the largest parameter value unless this value is smaller than some fixed standard theata sub 0 in which case no distribution is to be selected. Various single-stage procedures for this k1-decision problem are discussed, using indifference zone, decision theoretic, Bayesian, and subset selection approaches.

Subject Categories:

  • Air Conditioning, Heating, Lighting and Ventilating

Distribution Statement:

APPROVED FOR PUBLIC RELEASE