Research Article
Estimations in a Constant-Stress Partially Accelerated Life Test for Generalized Rayleigh Distribution under Type-II Hybrid Censoring Scheme
| Step 1: select and as beginning values, say . | | Step 2: start the counter with count . | | Step 3: create a random sample of from (32) using normal distribution. | | Step 4: compute the rejection-acceptance condition: | | | Step 5: we want to generate a random number that varies and ranges from 0 to 1, so we will turn to the uniform distribution . | | Step 6: if , accept the proposal and set ; otherwise, reject the proposal and set . | | Step 7: using the Metropolis–Hastings method, generate from (33) using normal distribution. | | Step 8: in order to find the estimate of , we should make a repetition for steps 4–6. | | Step 9: make an increment in the loop counter like . | | Step 10: repeat steps 3–9 for a total of N times. | | Step 11: under the SEL function, the Bayesian estimates regarding and have been provided by the following: | | | | where M is a burn-in period that can be chosen. | | Step 12: the estimates for the two parameters and under the LINEX loss function can be easily computed, respectively, using the following equations: | |
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