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Sequential Analysis
Design Methods and Applications
Volume 7, 1988 - Issue 4
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Original Articles

An improvement on paulson s sequential ranking procedure

Mark Hartmann Department of Mathematical Sciences, The Johns Hopkins University, Baltimore, MD, 21218
Pages 363-372 | Published online: 29 Mar 2007

Citations (20)

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H. P. Chan & T. L. Lai. (2006) Sequential Generalized Likelihood Ratios and Adaptive Treatment Allocation for Optimal Sequential Selection. Sequential Analysis 25:2, pages 179-201.
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L. Jeff Hong & BarryL. Nelson. (2005) The tradeoff between sampling and switching: New sequential procedures for indifference-zone selection. IIE Transactions 37:7, pages 623-634.
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V. Dragalin. (1995) An optimal sequential selection procedure. Communications in Statistics - Theory and Methods 24:2, pages 429-443.
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Edward Paulson. (1994) Sequential procedures for selecting the best one of k Koopman–Darmois populations. Sequential Analysis 13:3, pages 207-220.
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Mark Hartmann. (1991) An improvement on paulson's procedure for selecting the poprlation with the largest mean from k normal populations with a common unknown variance. Sequential Analysis 10:1-2, pages 1-16.
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Robert E. Bechhofer, David M. Goldsman, Charles W. Dunnett & Mark Hartmann. (1990) A comparison of the performances of procedures for selecting the normal population having the largest mean when the populations have a common unknown variance. Communications in Statistics - Simulation and Computation 19:3, pages 971-1006.
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Articles from other publishers (14)

Moonyoung Yoon & James Bekker. (2019) Considering sample means in Rinott’s procedure with a Bayesian approach. European Journal of Operational Research 273:1, pages 249-258.
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Saul Toscano-Palmerin & Peter I. Frazier. (2015) Asymptotic validity of the Bayes-inspired Indifference Zone procedure: The non-normal known variance case. Asymptotic validity of the Bayes-inspired Indifference Zone procedure: The non-normal known variance case.
Peter I. Frazier. (2014) A Fully Sequential Elimination Procedure for Indifference-Zone Ranking and Selection with Tight Bounds on Probability of Correct Selection. Operations Research 62:4, pages 926-942.
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Sigrún Andradóttir & Seong‐Hee Kim. (2010) Fully sequential procedures for comparing constrained systems via simulation. Naval Research Logistics (NRL) 57:5, pages 403-421.
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Seong-Hee Kim & Barry L. Nelson. (2007) Recent advances in ranking and selection. Recent advances in ranking and selection.
Juta Pichitlamken, Barry L. Nelson & L. Jeff Hong. (2006) A sequential procedure for neighborhood selection-of-the-best in optimization via simulation. European Journal of Operational Research 173:1, pages 283-298.
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Seong-Hee Kim & Barry L. Nelson. 2006. Simulation. Simulation 501 534 .
S. Andradottir, D. Goldsman & Seong-Hee Kim. (2005) Finding the Best in the Presence of a Stochastic Constraint. Finding the Best in the Presence of a Stochastic Constraint.
L.J. Hong & B.L. Nelson. (2003) An indifference-zone selection procedure with minimum switching and sequential sampling. An indifference-zone selection procedure with minimum switching and sequential sampling.
Seong-Hee Kim & B.L. Nelson. (2003) Selecting the best system: theory and methods. Selecting the best system: theory and methods.
Seong-Hee Kim & Barry L. Nelson. (2001) A fully sequential procedure for indifference-zone selection in simulation. ACM Transactions on Modeling and Computer Simulation 11:3, pages 251-273.
Crossref
J. Pichitlamken & B.L. Nelson. (2001) Selection-of-the-best procedures for optimization via simulation. Selection-of-the-best procedures for optimization via simulation.
Shanti S. Gupta & S. Panchapakesan. 1996. Design and Analysis of Experiments. Design and Analysis of Experiments 555 585 .
Robert E. Bechhofer & David M. Goldsman. 1989. Contributions to Probability and Statistics. Contributions to Probability and Statistics 303 317 .

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