Optimal stopping rules for exponential data

What is it about?

A problem of sequential sampling from an Exponential Distribution is considered in this research. The problem is formulated in the stochastic dynamic programming framework and the objective is to determine a control policy maximizing the total expected reward. It is assumed that under standard assumptions the control limit policy is optimal. Also, the posterior distribution of state of the system is determined through Bayesian approach

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