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Abstract. This paper develops procedures for selecting a set of normal populations with unknown means and unknown variances such that the final subset of ...
This paper develops procedures for selecting a set of normal populations with unknown means and unknown variances such that the final subset of selected ...
Nov 13, 2009 · This paper develops procedures for selecting a set of normal populations with unknown means and unknown variances such that the final subset ...
This paper develops procedures for selecting a set of normal populations with unknown means and unknown variances in order that the final subset of selected ...
This paper develops procedures for selecting a set of normal populations with unknown means and unknown variances such that the final subset of selected ...
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This paper develops procedures for selecting a set of normal populations with unknown means and unknown variances in order that the final subset of selected ...
A class of multiple decision procedures which selects a random size subset of populations not exceeding m (determined a priori) in size has previously.
its derivation in the general case. Section 4 gives properties of the proposed rule while Section 5 gives applications of the theory to selection from normal,.
A single-sample procedure for obtaining an optimal confidence interval for the largest or smallest mean of several independent normal populations is proposed.
The present work studies rules which select a random number of populations between one and m m where the upper bound, m m , is imposed by inherent setup ...