Journal
COMPLEX & INTELLIGENT SYSTEMS
Volume 9, Issue 3, Pages 3107-3114Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s40747-022-00912-5
Keywords
Uncertainty; Statistics; Simulation; Random variate; Algorithm; Neutrosophy; Distribution
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This paper studies the truncated variable simulation method under the indeterminate environment and introduces the algorithm using the DUS-neutrosophic Weibull distribution as an example. Extensive simulation tables are presented to demonstrate the results for different values of indeterminacy and truncated variables.
The existing truncated variable method to generate random variate cannot be applied when indeterminacy is presented in either the parameters or observations. This paper addresses the truncated variable simulation under the indeterminate environment. The truncated variable simulation method will be introduced using the DUS-neutrosophic Weibull distribution. The algorithm to generate random variate will be presented and applied in random variate generation. Extensive simulation tables for various values of indeterminacy and truncated variables are presented. The proposed study for other neutrosophic statistical distribution can be extended as future research.
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