The power law process has been shown to be a useful tool in characterizing the failure process of repairable systems. In this study, a procedure is proposed for detecting and estimating a mixture of reliable and unreliable systems. Using a simple likelihood ratio, a test of a mixture for copy machines is illustrated with truncated failure data. The estimation uncertainty is determined with bootstrap methods. Optimal decisions for system replacement are determined based on the observed likelihood.
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