Reliability Estimation in Multicomponent Stress-Strength for Generalized Inverted Exponential Distribution Based on Ranked Set Sampling

Stress-strength models are considered of great significance due to their applicability in varied fields. We address the estimation system reliability a multicomponent stress-strength model, say Rs,k, an s out k when pair stress and strengths drawn from generalized inverted exponential distribution. The is deemed as working if at least be more than its stress. obtain estimators data strength distributions collected three sampling schemes, specifically; simple random sampling, ranked set median sampling. four Rs,k behavior different estimates examined via simulation study based on mean squared errors efficiencies. studies point that scheme preferred other picked sample majority situations. theoretical explained with aid real analysis.