Selection of the best Average Normal Populations
DOI:
https://doi.org/10.18778/1898-6773.53.1-2.03Abstract
The work deals with the problem of choosing the best normal population in terms of the average. Two methods of choice are given depending on whether we are interested in choosing exactly one population or a subset including the best population. In both cases the probability of a correct decision P* depends on the amount of observations and the length of the confidence interval 6 for the highest mean. As regards the first method the length of the confidence interval & is fixed, whereas in the second method it is random. The method depends on whether the variances are known or not and whether they are identical or not. In the case of different and unknown variances only the two-stage method is allowed. The authors provide also an example illustrating the way of using both methods and tables of necessary critical values.
Downloads
References
BOFINGER E., 1979, Two stage selection problem for normal populations with unequal variances. The Australian Journal of Statistics, 21, 149-156.
View in Google Scholar
DOI: https://doi.org/10.1111/j.1467-842X.1979.tb01129.x
DUDEWICZ E. J., 1971, Non existance a single-sample selection procedure whose P(CS) is independent of the variances, South African Statistical Journal 5, 37-39.
View in Google Scholar
DUDEWICZ E. J., S. R. DALAL. 1975, Allocation of observations in ranking and selection with unequal variances, Sankhya B., 37, 28-78.
View in Google Scholar
DUNNETT C. W., 1955. A multiple comparison procedure for comparing several treatment with control, J. A mer. Statist. Assn., 50, 1096-1121.
View in Google Scholar
DOI: https://doi.org/10.1080/01621459.1955.10501294
GIBBONS J. D., J. OLKIN, M. SOBEL, 1977, Selecting and Oredring Populations: A New Statistical Methodology, J. Wiley & Sons.
View in Google Scholar
GIBBONS J. D., J. OLKIN, M. SOBEL, 1979, An introduction to ranking and Selection, The American Statistican, 33, 185-195.
View in Google Scholar
DOI: https://doi.org/10.1080/00031305.1979.10482690
GUPTA S. S., 1963, Probability integrals of the multivariate normal and multivariate t. Ann. Math. Statist., 34, 792-828.
View in Google Scholar
DOI: https://doi.org/10.1214/aoms/1177704004
GUPTA S. S., 1965, On some multiple decision (selection and ranking) rules, Technometrics, 7, 225-245.
View in Google Scholar
DOI: https://doi.org/10.1080/00401706.1965.10490251
GUPTA S. S., K. NAGEL, S. PANCHAPAKESAN, 1973, On the order statistics from equally correlated random variables, Biometrika, 60, 403-413.
View in Google Scholar
DOI: https://doi.org/10.1093/biomet/60.2.403
GUPTA S. S., S. PANCHAPAKESAN, 1979, Multiple Decision Procedure: Theory and Methodology of Selecting and Ranking Populations, J. Wiley & Sons.
View in Google Scholar
GUPTA S. S., M. SOBEL, 1957, On statistics which rises in selection and ranking problems, Ann. Math. Statist., 28, 957-967.
View in Google Scholar
DOI: https://doi.org/10.1214/aoms/1177706796
KRISHNAIAH P. R., 1965, Percentage points of the multivariate t-distributtion, Aerospace Research Laboratories Ohio, 500, 65-199.
View in Google Scholar
OFOSU J. B., 1973, A two – sample procedure for selecting the population with the largest mean from several normal populations with unknown variances, Biometrika, 60, 117-124.
View in Google Scholar
DOI: https://doi.org/10.1093/biomet/60.1.117
RINOTT J., 1978, On two-stage selection procedures and related probability-inequalities, Commun. Statist. Theory Meth. A., 78, 799-811.
View in Google Scholar
DOI: https://doi.org/10.1080/03610927808827671
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.