MULTIPARAMETER BAYESIAN INDIFFERENCE PROCEDURES*

Inferences from Indifference - Zone Selection Procedures

Two-stage indifference-zone selection procedures have been widely studied and applied. It is known that most indifference-zone selection procedures also guarantee multiple comparisons with the best confidence intervals with half-width corresponding to the indifference amount. We provide the statistical analysis of multiple comparisons with a control confidence interval that bounds the differenc...

A Bayesian Indifference Pos'i'ulate (preliminary Report)

Expected Opportunity Cost Guarantees and Indifference Zone Selection Procedures

Selection procedures help identify the best of a finite set of simulated alternatives. The indifference-zone approach focuses on the probability of correct selection, but the expected opportunity cost of a potentially incorrect decision may make more sense in business contexts. This paper provides the first selection procedure that guarantees an upper bound for the expected opportunity cost, in...

Fully Sequential Indifference-Zone Selection Procedures with Variance-Dependent Sampling

Fully sequential indifference-zone selection procedures have been proposed in the simulation literature to select the system with the best mean performance from a group of simulated systems. However, the existing sequential indifference-zone procedures allocate an equal number of samples to the two systems in comparison even if their variances are drastically different. In this paper we propose...

Optimal Computing Budget Allocation of Indifference-zone-selection Procedures

Indifference-zone-selection procedures have been widely studied and applied to determine the required sample sizes for selecting a good design from k alternatives. However, efficiency is still a key concern for application of simulation to ranking and selection problems. In this paper, we present a new approach that can further enhance the efficiency of indifferencezone-selection procedures. Ou...