Accession Number : AD0689873

Title :   ON SOME CLASSES OF SELECTION PROCEDURES BASED ON RANKS.

Descriptive Note : Technical rept.,

Corporate Author : PURDUE UNIV LAFAYETTE IND DEPT OF STATISTICS

Personal Author(s) : Gupta,Shanti S. ; McDonald,Gary C.

Report Date : MAY 1969

Pagination or Media Count : 42

Abstract : The paper deals with some nonrandomized ranking and selection procedures based on ranks using the subset selection approach. The main problem is to select a subset of k given populations, which contains the 'best' population with probability at least P*. The random variables associated with a fixed population are assumed to be independent identically distributed with a continuous distribution function depending on a single parameter. This parameter is assumed to stochastically order the k distribution functions, and the 'best' population is the stochastically largest (smallest) population. The procedures presented depend on the individual observations of a given populations only through their ranks in the combined sample. In some preference-type tests or lost-data problems, these ranks may be the only information available to an experimenter. (Author)

Descriptors :   (*STATISTICAL ANALYSIS, SELECTION), DISTRIBUTION FUNCTIONS, DISTRIBUTION THEORY, ANALYSIS OF VARIANCE, STATISTICAL DISTRIBUTIONS, EXPERIMENTAL DESIGN, PROBABILITY, THEOREMS

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE