Statistical Inference from Boyles' Capability Index
This paper presents statistical inference procedures from Spn , a process capability index for asymmetrical processes proposed by Boyles. From the frequentist perspective, a conservative lower confidence bound is given. From the Bayesian perspective, the SIR algorithm is used to obtain the posterior distribution of Spn . Both procedures are illustrated by simulations and examples.