Nonparametric selection procedures applied to state traffic fatality rates

Authors:
Gary C. McDonald
Affiliations:
-
Venue:
WSC '77 Proceedings of the 9th conference on Winter simulation - Volume 1
Year:
1977

Citing 0
Cited 4

New procedures for selection among (simulated) alternatives

WSC '77 Proceedings of the 9th conference on Winter simulation - Volume 1
Subset selection procedures with special reference to the analysis of two-way layout: Application to motor-vehicle fatality data

WSC '77 Proceedings of the 9th conference on Winter simulation - Volume 1
Winner selection

WSC '77 Proceedings of the 9th conference on Winter simulation - Volume 1
Subset selection procedures with special reference to the analysis of two-way layout: application to motor-vehicle fatality data

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Abstract

This article reviews the practical aspects of several nonparametric subset selection rules useful in block design problems, and discusses advantages and disadvantages of these methods. The populations are assumed stochastically ordered by the parameter of interest. Rules based on ranked observations are given for selecting a subset of populations which contains, with a specified confidence level, the population characterized by the smallest (or largest) parameter value. These procedures are applied to state traffic fatality rates recorded yearly (1960-76). New England states and Middle Atlantic states comprise most of the subset asserted, with a 90% confidence level, to contain the state with the smallest fatality rate; whereas, Southern states, Southwestern states and Rocky Mountain states generally comprise the subset for the state with the largest fatality rate. Note that while this example is not based on simulation data, such data would be analyzed in exactly the same fashion.