Research Article

Bayesian Estimation of Generalized Process Capability Indices

Table 6

Bayes estimates of 𝐶 𝑝 𝑦 and their MSEs with 𝐿 = 0 , 𝑈 = 8 , samples generated from exponential distribution.

𝑚 , 𝐶 𝑝 𝑦 𝑛 2550100150

11.1111061.1111081.1111091.111109
1.111111 1 . 0 8 3 0 7 0 × 1 0 1 0 1 . 4 1 5 4 1 3 × 1 0 1 1 3 . 2 1 5 5 0 3 × 1 0 1 2 1 . 5 0 2 1 9 5 × 1 0 1 6

41.0827191.0851161.0861451.086548
1.0873740.00025173060.0001037937 4 . 8 8 0 6 4 5 × 1 0 5 3 . 1 5 1 0 3 5 × 1 0 5

80.6560130.65649530.65777420.658386
0.6583860.0072446220.0037188030.0018738880.001267805

100.37476450.37200290.37064920.3708838
0.36979960.0060364980.0030858710.0015481110.001035829

In each, cell first row indicates the Bayes estimates of 𝐶 𝑝 𝑦 and second row indicates its MSE.