Skip to content
Research Article Open access CC BY 4.0

On the Estimation of Stress Strength Reliability Parameter of Weibull-Rayleigh Distribution

Eno E. E. Akarawak, Matthew Iwada Ekum, Sheriffdeen Taiwo Oyeyemi

Asian Journal of Probability and Statistics · pp. 1–21 · Published 3 Sep 2022

10.9734/ajpas/2022/v19i430473

Abstract

The reliability of a component depends on the stress conditions of the operating environment, which are uncertainty and should be modeled as random. This article deals with the estimation of the stress-strength reliability parameter of Weibull-Rayleigh distribution. Let X and Y be two independent random variables, where X and Y follow Weibull-Rayleigh distribution. The maximum likelihood estimator and the approximate maximum likelihood estimator of the stress-strength reliability are obtained. Other properties of the Weibull-Rayleigh distributions are derived. Two real data applications are given for showing the flexibility of the Weibull-Rayleigh stress-strength reliability.

Maximum likelihood estimation reliability weibull-rayleigh stress-strength uncertainty

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.