2007
DOI: 10.1109/vts.2007.48
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Parameter Estimation for a Model with Both Imperfect Test and Repair

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Cited by 3 publications
(1 citation statement)
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“…Monte Carlo simulation of the circuit and potential faults is used to derive estimates; hence, the approach does not make use of production data. The first attempt by the authors to estimate test model parameters from measurement data used a classical point estimate approach based on modelling the data as Gaussian, but it did not give an estimation error and produced very inaccurate estimates if the data were few or not normally distributed . This led to the development of the model in this paper.…”
Section: Introductionmentioning
confidence: 99%
“…Monte Carlo simulation of the circuit and potential faults is used to derive estimates; hence, the approach does not make use of production data. The first attempt by the authors to estimate test model parameters from measurement data used a classical point estimate approach based on modelling the data as Gaussian, but it did not give an estimation error and produced very inaccurate estimates if the data were few or not normally distributed . This led to the development of the model in this paper.…”
Section: Introductionmentioning
confidence: 99%