scholarly journals Asymptotic validity of the Bayes-inspired Indifference Zone procedure: The non-normal known variance case

2015 ◽  
Author(s):  
Saul Toscano-Palmerin ◽  
Peter I. Frazier
Keyword(s):  
Indifference Zone ◽  
Asymptotic Validity

Indifference-zone ranking and selection: confidence intervals for true achieved P(CD)

1977 ◽  
Vol 6 (11) ◽  
pp. 1121-1132 ◽  
Author(s):  
Peter O. Anderson ◽  
Thomas A. Bishop ◽  
Edward J. Dudewicz
Keyword(s):  
Confidence Intervals ◽  
Ranking And Selection ◽  
Indifference Zone

Simple formulae for the stress concentration factor for two- and three-dimensional holes in finite domains

2002 ◽  
Vol 37 (3) ◽  
pp. 259-264 ◽  
Author(s):  
Q. Z Wang
Keyword(s):  
Stress Concentration ◽  
Circular Hole ◽  
Stress Concentration Factor ◽  
Concentration Factor ◽  
Spherical Cavity ◽  
Three Dimensional ◽  
Finite Domain ◽  
Three Dimensional Models ◽  
Finite Domains ◽  
Asymptotic Validity

First, based on an approximate analysis, simple closed-form expressions of the stress concentration factor (SCF) for two- or three-dimensional models with a circular hole or a spherical cavity in a finite domain are derived. Then, an asymptotic method is adopted to improve the accuracy of the derived solutions for an extremely large circular hole or spherical cavity, when the remaining ligament approaches zero. Exact limit SCF values for these two kinds of models were given by Koiter; these values are used for the adjustment of the coefficients in the SCF expressions. Finally, simple SCF formulae for these finite domain problems are obtained, their accuracy is demonstrated to be very good by comparison with the available data from the literature, and the asymptotic validity is guaranteed.

Selecting the Best Alternative Based on Its Quantile

2020 ◽  
Author(s):  
Demet Batur ◽  
F. Fred Choobineh
Keyword(s):  
Value At Risk ◽  
Decision Makers ◽  
Correct Selection ◽  
Zone Size ◽  
Indifference Zone ◽  
Probability Of Correct Selection ◽  
A Value ◽  
Conscious Decision ◽  
Target Probability ◽  
Sequential Procedures

A value-at-risk, or quantile, is widely used as an appropriate investment selection measure for risk-conscious decision makers. We present two quantile-based sequential procedures—with and without consideration of equivalency between alternatives—for selecting the best alternative from a set of simulated alternatives. These procedures asymptotically guarantee a user-defined target probability of correct selection within a prespecified indifference zone. Experimental results demonstrate the trade-off between the indifference-zone size and the number of simulation iterations needed to render a correct selection while satisfying a desired probability of correct selection.

scholarly journals On Indifference Zone Selection with a Preference Threshold

1996 ◽  
Vol 38 (5) ◽  
pp. 553-575
Author(s):  
F. P. A. Coolen ◽  
P. van der Laan
Keyword(s):  
Indifference Zone ◽  
Preference Threshold

A Note on the Length and Passing Score of a Mastery Test

1976 ◽  
Vol 1 (4) ◽  
pp. 359-364 ◽  
Author(s):  
Rand R. Wilcox
Keyword(s):  
Selection Procedure ◽  
Ranking And Selection ◽  
Test Length ◽  
Indifference Zone ◽  
Search Routine ◽  
Passing Score

Using an indifference zone formulation, Fhanér has described a ranking and selection procedure for determining the appropriate length of a mastery test. The purpose of this note is to relate Fhanér’s solution to one given by Millman, to give a criterion for the choice of a passing score, and to describe a search routine which will always yield the appropriate test length and implied passing score.

Indifference-Zone-Free Selection of the Best

2016 ◽  
Vol 64 (6) ◽  
pp. 1499-1514 ◽  
Author(s):  
Weiwei Fan ◽  
L. Jeff Hong ◽  
Barry L. Nelson
Keyword(s):  
Indifference Zone ◽  
Selection Of
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