Research Article

Bayesian Estimation of Generalized Process Capability Indices

Table 4

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

𝜆 , 𝐶 𝑝 𝑦 𝑛 2550100150

0.20.89073830.88678160.88832530.8875391
0.88678160.0046698630.002447009 0.0012638550.0008378543

0.51.0862581.0883311.0896271.089983
1 . 0 9 0 7 6 0 0.00032798720.0001522034 6 . 9 7 6 5 × 1 0 5 4 . 5 9 1 9 3 1 × 1 0 5

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

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

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