Closed sequential procedures for selecting the multinomial events which have the largest probabilities
- 1 January 1984
- journal article
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 13 (24) , 2997-3031
- https://doi.org/10.1080/03610928408828875
Abstract
No abstract availableThis publication has 20 references indexed in Scilit:
- On the performance characteristics of a closed adaptive sequential procedure for selecting the best bernoulli populationCommunications in Statistics. Part C: Sequential Analysis, 1983
- Further light on nonparametric selection efficiencyNaval Research Logistics Quarterly, 1973
- On Selecting the Least Probable Multinomial EventThe Annals of Mathematical Statistics, 1972
- A sequential sampling rule for selecting the most probable multinomial eventAnnals of the Institute of Statistical Mathematics, 1971
- On Selecting the Most Probable CategoryTechnometrics, 1971
- A Nonparametric Selection Procedure's Efficiency: Largest Location Parameter CaseJournal of the American Statistical Association, 1971
- Monotonicity Properties of the Multinomial DistributionThe Annals of Mathematical Statistics, 1970
- Some Optimum Properties of Ranking ProceduresThe Annals of Mathematical Statistics, 1967
- A Single-Sample Multiple-Decision Procedure for Selecting the Multinomial Event Which Has the Highest ProbabilityThe Annals of Mathematical Statistics, 1959
- A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known VariancesThe Annals of Mathematical Statistics, 1954