Research Article

A Simple Normal Approximation for Weibull Distribution with Application to Estimation of Upper Prediction Limit

Table 2

Simulated expected lengths of 95% UPL that contain at least l of m future observations at each of r locations from Weibull distribution for sample sizes , 10, 20 using GV, CNPT, and BCKL methods*.

GVCNPTBCKLGVCNPTBCKLGVCNPTBCKL

,
,
0.10.50.380.370.370.250.250.250.190.180.18
10.180.180.180.150.150.150.130.130.13
30.120.120.120.110.110.110.110.110.11
10.53.803.763.772.502.472.461.851.791.78
11.791.781.781.511.501.491.331.311.30
31.191.191.191.131.131.131.091.091.09
50.519.1018.6318.7112.5312.3112.289.259.008.93
19.008.908.917.557.487.466.646.546.51
35.965.945.945.675.655.655.465.445.43
500.5190.16186.02186.79124.82123.47123.0892.7589.9589.25
190.0388.8489.0075.4574.8574.7366.3665.4465.18
359.6459.4059.4456.7056.5456.5154.6254.3954.32
1000.5383.79374.67376.24251.24247.09246.32184.91180.11178.70
1179.98178.41178.72151.07149.92149.66132.80130.95130.43
3119.27118.77118.83113.40113.11113.04109.24108.74108.59

,
,
0.10.50.270.270.260.180.180.180.140.130.13
10.150.150.150.130.130.130.110.110.11
30.110.110.110.110.110.110.100.100.10
10.52.662.642.631.821.791.781.381.341.32
11.511.501.501.291.271.271.141.131.12
31.131.121.121.081.071.071.041.031.03
50.513.3413.2013.169.118.968.886.916.686.60
17.557.507.496.436.396.365.745.635.60
35.635.615.615.385.365.365.205.175.16
500.5133.95132.56130.9191.1389.6488.9069.0966.8466.04
175.4475.2174.9064.3663.7763.4757.3656.3556.00
356.3156.1656.1153.7853.5953.5651.9851.7251.63
1000.5266.35263.65264.21182.16178.70177.11138.26133.44132.09
1151.03149.96149.92128.62127.63127.06114.74112.72112.11
3112.63112.38112.23107.49107.24107.02104.02103.40103.22

,
,
0.10.51.651.411.460.750.710.730.490.470.47
10.360.330.330.260.250.250.220.210.21
30.150.140.150.140.130.130.130.130.13
10.516.5414.0014.607.557.137.264.874.644.67
13.563.283.342.592.512.542.152.102.11
31.481.441.451.351.341.341.281.271.27
50.582.8570.4473.1137.7735.6936.2524.3623.1823.40
117.7916.5216.7512.9312.5412.6710.7310.4710.53
37.407.227.266.776.706.736.416.366.37
500.5830.35710.92733.32376.12355.27362.96242.46232.30234.39
1177.94164.84166.79129.32125.54127.11107.39104.72105.50
374.1272.1872.6767.7167.0567.2164.1163.6363.68
1000.51650.201408.031456.67754.87713.90725.43485.52464.88467.82
1356.26328.69334.60258.73251.05252.98214.54209.88210.49
3148.20144.36145.19135.32134.11134.56128.23127.21127.43

*Results are obtained assuming unknown scale and shape parameters .