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Reliability Estimation in Multicomponent Stress-Strength Based on Inverse Weibull Distribution
| Content Provider | MDPI |
|---|---|
| Author | Shawky, Ahmed Ibrahim Khan, Khushnoor |
| Copyright Year | 2022 |
| Description | The present study focuses on the multi-component stress-strength (MCSS) model based on inverse Weibull distribution (IWD). Both stress and strength are assumed to follow IWD with a common shape parameter. In such a system, reliability is obtained by the maximum likelihood (ML) method. The results are extracted using Monte Carlo simulation for comparing the performance of the reliability component $R_{s,k}$ using different sample sizes and different combinations of the parameters (s,k). The procedure is further illustrated through a real data set to show how the proposed technique may be employed to study the strength and stress of multicomponent model. |
| Starting Page | 226 |
| e-ISSN | 22279717 |
| DOI | 10.3390/pr10020226 |
| Journal | Processes |
| Issue Number | 2 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-01-25 |
| Access Restriction | Open |
| Subject Keyword | Processes Inverse Weibull Multicomponent Stress-strength Model Asymptotic Confidence Interval Maximum Likelihood Estimation |
| Content Type | Text |
| Resource Type | Article |
