Comparing methods for assessing reliability uncertainty based on pass/fail data collected over time. Issue Volume 30:Issues 4(2018) (2nd October 2018)

• Record Type: Journal Article
• Authors: Abes, Jeff I.; Hamada, Michael S.; Hills, Charles R.
• Is Part Of: Quality engineering. Volume 30:Issues 4(2018)
• Page Start: 694
• Page End: 700
• Publication Date: 2018-10-02
• Subjects: Bayesian inference -- left-censored -- logistic regression -- lognormal distribution -- normal distribution -- pass/fail data -- probit regression -- RADAR method -- right-censored -- Weibull distribution -- zero-inflated failure time distribution; Quality control -- Periodicals; Production management -- Quality control -- Periodicals; 658.5
• DOI: 10.1080/08982112.2017.1417600
• Languages: English
• ISSNs: 0898-2112

Abstract

ABSTRACT: In this article, we compare statistical methods for analyzing pass/fail data collected over time; some methods are traditional and one (the RADAR or Rationale for Assessing Degradation Arriving at Random) was recently developed. These methods are used to provide uncertainty bounds on reliability. We make observations about the methods' assumptions and properties. We illustrate the differences between two traditional methods, logistic regression and Weibull failure time analysis, and the RADAR method using a numerical example.