Unbiased estimation of reliability function from a mixture of two exponential distributions based on a single observation

In this paper we investigate an aspect of unbiased estimation of the reliability function, based on a single observation from a mixture of two exponential distributions with known mixing proportions. We introduce a few equivalent versions of unbiased estimators, and find that they give proper estimates only if negative weights on component mixture distributions are allowed.