We present two fully sequential indifference-zone procedures to select the best sys-tem from a number of competing simulated systems when best is defined by maximum or minimum expected performance. These two procedures have parabola shaped con-tinuation regions rather than triangular continuation regions employed in several pa-pers. The procedures we present accommodate unequal and unknown variances across systems and the use of common random numbers. However, we assume that basic observations are independent and identically normally distributed. We compare the performance of our procedures with those of other fully sequential procedures available in the literature.
Simulation is widely used to identify the best of a finite set of proposed systems, where 'best' is ...
© 2016, Pleiades Publishing, Ltd.In this paper we consider selection and ranking problems for the ca...
Abstract: Kim and Nelson propose sequential procedures for selecting the simulated system with the l...
Abstract: Fully sequential indifference-zone selection procedures have been proposed in the simulati...
[[abstract]]In this paper, we address the problem of finding the simulated system with the best (max...
Statistical ranking and selection (R&S) is a collection of experiment design and analysis techniques...
Statistical ranking and selection (R&S) is a collection of experiment design and analysis techniques...
Fully sequential selection procedures have been developed in the field of stochastic simulation to f...
In this paper we address the problem of finding the simulated system with the best (maximum or minim...
Many ranking-and-selection (R&S) procedures have been invented for choosing the best simulated s...
In this paper we address the problem of finding the simulated system with the best (maximum or minim...
For many discrete simulation optimization applications, it is often difficult to decide which Rankin...
Two-stage selection procedures have been widely studied and applied to determine appropri-ate sample...
In this paper, we develop a ranking and selection procedure for making multiple comparisons of syste...
Classical ranking-and-selection (R&S) procedures cannot be applied directly to select the best d...
Simulation is widely used to identify the best of a finite set of proposed systems, where 'best' is ...
© 2016, Pleiades Publishing, Ltd.In this paper we consider selection and ranking problems for the ca...
Abstract: Kim and Nelson propose sequential procedures for selecting the simulated system with the l...
Abstract: Fully sequential indifference-zone selection procedures have been proposed in the simulati...
[[abstract]]In this paper, we address the problem of finding the simulated system with the best (max...
Statistical ranking and selection (R&S) is a collection of experiment design and analysis techniques...
Statistical ranking and selection (R&S) is a collection of experiment design and analysis techniques...
Fully sequential selection procedures have been developed in the field of stochastic simulation to f...
In this paper we address the problem of finding the simulated system with the best (maximum or minim...
Many ranking-and-selection (R&S) procedures have been invented for choosing the best simulated s...
In this paper we address the problem of finding the simulated system with the best (maximum or minim...
For many discrete simulation optimization applications, it is often difficult to decide which Rankin...
Two-stage selection procedures have been widely studied and applied to determine appropri-ate sample...
In this paper, we develop a ranking and selection procedure for making multiple comparisons of syste...
Classical ranking-and-selection (R&S) procedures cannot be applied directly to select the best d...
Simulation is widely used to identify the best of a finite set of proposed systems, where 'best' is ...
© 2016, Pleiades Publishing, Ltd.In this paper we consider selection and ranking problems for the ca...
Abstract: Kim and Nelson propose sequential procedures for selecting the simulated system with the l...