Estimation of a Parallel Stress-strength Model Based on the Inverse Kumaraswamy Distribution

The reliability of the stress-strength model attracted many statisticians for several years owing to its applicability in different and diverse parts such as engineering, quality control, economics. In this paper, system estimation containing Kth parallel components will be offered by four types shrinkage methods: constant Shrinkage Estimation Method, Function Estimator, Modified Thompson Type Squared Estimator. Monte Carlo simulation study is compared among proposed estimators using mean squared error. result analyses methods showed that functions estimator was best since it has a minor error than other followed additional estimator. stress strength belong verse Kumaraswamy distribution