An improved two-stage selection procedure

Abstract

The problem of selecting the best of k normal populations with unknown and possibly unequal variances is considered The two-stage procedure proposed by Rinott (1978) is improved so that less samples need to be drawn in the second-stage of the sampling scheme

Keywords:

• two-stage selection procedure
• selecting the best population
• heteroscedasticity
• normal populations
• initial sample size