Bayesian nonparametric subset selection procedures with Weibull components BY YUMI KONDO & JAMES V ZIDEK MAY 2013
نویسندگان
چکیده
This paper presents two solutions within a Bayesian framework to the problem of selecting a subset of populations of breaking strengths from a specified finite set of them that will contain the one with the smallest or (equivalently from a mathematical perspective) largest α quantile. Independent random samples from each are assumed. Estimates of these quantiles are then used to specify conservative design values for engineering applications. As ASTM, Inc standards require in some cases a nonparametric approach, we propose a semiparametric and nonparametric alternatives in the ensuing sections. The paper wraps up with an empirical comparison of the methods followed by conclusions.
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