Bayesian Estimation of Generalized Process Capability Indices

Table 2

Bayes Estimates of 𝐶_𝑝𝑦 and their MSEs with 𝐿=0, 𝑈=8, samples generated from normal distribution.

𝜇,𝜎,𝐶𝑝𝑦∣𝑛	25	50	100	150
5, 3	0.979133	0.978665	0.979896	0.9799876
0.8817271	0.0130996	0.0087564	0.00556342	0.0027548
5, 4	0.833937	0.834536	0.836746	0.843425
0.7419143	0.0225739	0.0097685	0.0075743	0.0047865
6, 3	0.860858	0.861465	0.862612	0.864012
0.805286	0.0036421	0.0015647	0.00096745	0.00068963
6, 4	0.759651	0.754632	0.759984	0.753241
0.6940614	0.010984	0.0088576	0.0050495	0.0028967

In each cell first row indicates the Bayes estimates of 𝐶_𝑝𝑦 and second row indicates its MSE.