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Article
Two-sided tolerance intervals for members of the (log)-location-scale family of distributions
Quality Technology and Quantitative Management
  • Miao Yuan, Virginia Tech
  • Yili Hong, Virginia Tech
  • Luis A. Escobar, Louisiana State University
  • William Q. Meeker, Iowa State University
Document Type
Article
Publication Version
Accepted Manuscript
Publication Date
1-1-2018
DOI
10.1080/16843703.2016.1226594
Abstract

In this paper, we propose methods to calculate exact factors for two-sided control-the-centre and control-both-tails tolerance intervals for the (log)-location-scale family of distributions, based on complete or Type II censored data. With Type I censored data, exact factors do not exist. For this case, we developed an algorithm to compute approximate factors. Our approaches are based on Monte Carlo simulations. We also provide algorithms for computing TIs that control the probability in both tails of a distribution. A simulation study for Type I censored data shows that the estimated coverage probability is close to the nominal confidence level when the expected number of uncensored observations is moderate to large. We illustrate the methods with applications using different combinations of distributions and types of censoring.

Comments

This is an Accepted Manuscript of an article published by Taylor & Francis as Yuan, Miao, Yili Hong, Luis A. Escobar, and William Q. Meeker. "Two-sided tolerance intervals for members of the (log)-location-scale family of distributions." Quality Technology & Quantitative Management 15, no. 3 (2018): 374-392. DOI: 10.1080/16843703.2016.1226594. Posted with permission.

Copyright Owner
Taylor & Francis
Language
en
File Format
application/pdf
Citation Information
Miao Yuan, Yili Hong, Luis A. Escobar and William Q. Meeker. "Two-sided tolerance intervals for members of the (log)-location-scale family of distributions" Quality Technology and Quantitative Management Vol. 15 Iss. 3 (2018) p. 374 - 392
Available at: http://works.bepress.com/wqmeeker/163/