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article · AIMS Mathematics

On the study of the recurrence relations and characterizations based on progressive first-failure censoring

20233 citationsOpen accessSuez University

Abstract

<abstract> <p>In this research, the progressive first-failure censored data (PFFC) from the Kumaraswamy modified inverse-Weibull distribution (KMIWD) were used to obtain the recurrence relations and characterizations for single and product moments. The recurrence relationships allow for a rapid and efficient assessment of the means, variances and covariances for any sample size. Additionally, the paper outcomes can be boiled down to the traditional progressive type-II censoring. Also, some special cases are limited to some lifetime distributions as the exponentiated modified inverse Weibull and Kumaraswamy inverse exponential.</p> </abstract>

Research topics

  • Statistical Distribution Estimation and Applications
  • Probabilistic and Robust Engineering Design
  • Reliability and Maintenance Optimization

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DOI: 10.3934/math.2024026

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