  This article describes the inferential procedures and Bayesian optimal
life-testing issues under Type-II unified hybrid censoring scheme. First, the
explicit expressions of expected number of failures, expected duration of
testing and Fisher information matrix for the unknown parameters of the
underlying lifetime model are derived. Then, using these quantities, the
Bayesian optimal life-testing plans are computed in subsequent section. A cost
constraint D-optimal optimization problem has been formulated and the
corresponding solution algorithm is provided to obtain optimal plans.
Computational procedures are illustrated through numerical examples.
