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Syst."],"published-print":{"date-parts":[[2023,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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.<\/jats:p>","DOI":"10.1007\/s40747-022-00912-5","type":"journal-article","created":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T09:06:06Z","timestamp":1669021566000},"page":"3107-3114","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Truncated variable algorithm using DUS-neutrosophic Weibull distribution"],"prefix":"10.1007","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0644-1950","authenticated-orcid":false,"given":"Muhammad","family":"Aslam","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,21]]},"reference":[{"issue":"2","key":"912_CR1","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1080\/00031305.1976.10479147","volume":"30","author":"JR Michael","year":"1976","unstructured":"Michael JR, Schucany WR, Haas RW (1976) Generating random variates using transformations with multiple roots. 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