 The logistic Nadarajah–Haghighi distribution and its associated regression model for reliability applicationsPeña-RamÃrez, Fernando A., Renata Rojas Guerra, Diego Ramos Canterle and Gauss M. Cordeiro Reliability Engineering and System Safety, 2020, vol. 204, issue C Abstract: We introduce a new three-parameter model called the logistic Nadarajah–Haghighi distribution. An important property of the proposed distribution is that it can produce decreasing and unimodal failure rates. These behaviors can arise in several reliability problems. We provide some useful quantile measures and other reliability properties. We present the maximum likelihood estimators of the model parameters. We perform applications that show the usefulness of the new distribution for modeling mechanical components failure times and impact factors in the informetrics literature. Further, we present a parametric regression model for right-censored data considering a median-based parametrization of the new distribution. A Monte Carlo study is carried out to evaluate the performance of the estimators. Finally, we analyze the reliability of pressure vessels wrapped with a Kevlar fibre using the proposed regression model. Keywords: Hazard rate function; Logistic-X family; Nadarajah–Haghighi distribution; Regression model; Reliability data (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:204:y:2020:i:c:s0951832020306979 DOI: 10.1016/j.ress.2020.107196 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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