A Sequential Procedure for Selecting the Population with the Largest Mean from $k$ Normal Populations
Paulson, Edward
Ann. Math. Statist., Tome 35 (1964) no. 4, p. 174-180 / Harvested from Project Euclid
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In this paper sequential procedures are given for selecting the normal population with the greatest mean when (a) the $k$ populations have a common known variance or (b) the $k$ populations have a common but unknown variance, so that in each case the probability of making the correct selection exceeds a specified value when the greatest mean exceeds all other means by at least a specified amount. The procedures in the present paper all have the property that inferior populations can be eliminated from further consideration as the experiment proceeds.
Publié le : 1964-03-14
Classification:  
@article{1177703739,
     author = {Paulson, Edward},
     title = {A Sequential Procedure for Selecting the Population with the Largest Mean from $k$ Normal Populations},
     journal = {Ann. Math. Statist.},
     volume = {35},
     number = {4},
     year = {1964},
     pages = { 174-180},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1177703739}
}

Paulson, Edward. A Sequential Procedure for Selecting the Population with the Largest Mean from $k$ Normal Populations. Ann. Math. Statist., Tome 35 (1964) no. 4, pp.  174-180. http://gdmltest.u-ga.fr/item/1177703739/