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A two-sample procedure for selecting the population with the largest mean from several normal populations with unknown variances
- Source :
- Biometrika. 60:117-124
- Publication Year :
- 1973
- Publisher :
- Oxford University Press (OUP), 1973.
-
Abstract
- SUMMARY This paper gives a two-sample procedure for selecting the population with the largest mean from k normal populations with unknown variances. The method is based on a twosample procedure proposed by Stein (1945). Tables necessary for the application of the procedure are given for selected values of k. Comparisons of the minimum values of the expected sample sizes using the proposed procedure are made with the corresponding single-sample sizes for known variances (Bechhofer, 1954). Comparisons are also made of the expected total sample sizes for the single-sample procedure, the two-sample procedure given in this paper and the two-sample procedure proposed by Bechhofer, Dunnett & Sobel (1954) which assumes that the populations have known variance ratios. It is shown that the expected total sample sizes are not much increased by ignorance of the variance ratios.
- Subjects :
- Statistics and Probability
education.field_of_study
Applied Mathematics
General Mathematics
Population
Sobel operator
Variance (accounting)
Agricultural and Biological Sciences (miscellaneous)
Sample size determination
Statistics
Econometrics
Two sample
Statistics, Probability and Uncertainty
General Agricultural and Biological Sciences
education
Mathematics
Subjects
Details
- ISSN :
- 14643510 and 00063444
- Volume :
- 60
- Database :
- OpenAIRE
- Journal :
- Biometrika
- Accession number :
- edsair.doi...........4797cf6fa1984adafe2979c31a28ad90