Estimation and optimal stopping in a debugging model with masking

Author:

Siegrist Kyle

Abstract

A system has an irremovable failure source and a number of removable flaws. The system undergoes a sequence of trials designed to detect and remove the flaws. On each trial, the irremovable failure source may cause failure which in turn may block the detection of any flaws. If not, then each flaw in the system, independently, is detected on that trial with a certain probability and each detected flaw, independently, is removed from the system with a certain probability before the next trial. Distributions of the outcomes of the trials are obtained. Point estimates of the parameters, based on accumulated trial data, are given. Assuming that certain costs are associated with trials, optimal stopping rules and a cost-benefit analysis are given.

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

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1. Advances in Urn Models during the Past Two Decades;Advances in Combinatorial Methods and Applications to Probability and Statistics;1997

2. Stopping rules for proofreading;Journal of Applied Probability;1989-06

3. Stopping rules for proofreading;Journal of Applied Probability;1989-06

4. An urn model with bernoulli removals and independent additions;Stochastic Processes and their Applications;1987

5. A Debugging Model with Independent Flaws and Random Masking;Operations Research;1986-02

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