Interval Estimates When No Failures Are Observed
نویسنده
چکیده
In this paper we discuss ways to use Bayesian methodology to estimate the matching performance of a biometric identification device when no errors are detected. One of the drawbacks to the classical or frequentist statistical estimation methods is that it is not possible to create a confidence interval for the error rate when no errors are observed. In this paper we begin by discussing the relevant work in statistical estimation. We then introduce the Bayesian approach to estimation and present examples.
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