Research Article

Bayesian Estimation and Prediction for Flexible Weibull Model under Type-II Censoring Scheme

Table 8

Average 95% confidence/HPD intervals (in brackets) and bootstrap method along with their width and shape (in square brackets) for bootstrap method for complete sample , with varying parameters.

Asymptotic
Bootstrap
Bayes
Jeffrey Gamma-1 Gamma-2

1.80922 2.494413 [3.704015] 1.04609 0.96179 1.03549
(0.3894311, 2.1986549) (0.763769, 3.258183) (0.58521, 1.63130) (0.65815, 1.61994) (0.60219, 1.63768)
1.1317 1.440344 [2.899471] 0.58801 0.57383 0.58606
(0.5780497, 1.7097506) (0.774531, 2.214875) (0.79841, 1.38642) (0.80093, 1.37476) (0.79897, 1.38503)

1.5505 2.090383 [3.461255] 0.7101 0.6779 0.7043
(0.4658775, 2.0163793) (0.772565, 2.862947) (0.8058, 1.5159) (0.8171, 1.4950) (0.8094, 1.5137)
2.26918 2.903446 [2.942088] 0.974 0.9167 0.9661
(1.159005, 3.428187) (1.557071, 4.460517) (1.7172, 2.6912) (1.7286, 2.6453) (1.7188, 2.6849)

1.45582 1.948467 [3.381644] 0.5674 0.5473 0.5638
(0.4942760, 1.9500981) (0.777498, 2.725965) (0.8813, 1.4487) (0.8819, 1.4292) (0.8827, 1.4465)
3.41489 4.381877 [2.966392] 1.2838 1.1625 1.265
(1.738521, 5.153412) (2.341215, 6.723092) (2.7184, 4.0022) (2.7368, 3.8993) (2.7219, 3.9869)

3.10101 4.180747 [3.461238] 1.4143 1.2678 1.3829
(0.9317525, 4.0327632) (1.545131, 5.725878) (1.6060, 3.0203) (1.6496, 2.9174) (1.6259, 3.0088)
1.1346 1.451719 [2.942077] 0.4892 0.4771 0.4871
(0.5795007, 1.7140960) (0.778536, 2.230255) (0.8650, 1.3542) (0.8622, 1.3393) (0.8651, 1.3522)

2.81147 3.749764 [3.341453] 0.9754 0.9233 0.9672
(1.018547, 3.830021) (1.560572, 5.310336) (1.8490, 2.8244) (1.8515, 2.7748) (1.8513, 2.8185)
2.28314 2.936211 [2.984448] 0.771 0.737 0.7653
(1.158481, 3.441619) (1.563132, 4.499343) (1.8684, 2.6394) (1.8681, 2.6051) (1.8694, 2.6347)

2.7054 3.594662 [3.297717] 0.7911 0.7575 0.786
(1.050075, 3.755473) (1.566362, 5.161024) (1.9465, 2.7376) (1.9422, 2.6997) (1.9466, 2.7326)
3.44036 4.436749 [3.006102] 0.9862 0.9225 0.976
(1.735746, 5.176104) (2.348427, 6.785176) (2.9134, 3.8996) (2.9127, 3.8352) (2.9144, 3.8904)

4.36047 5.837303 [3.381616] 1.7022 1.493 1.6623
(1.479581, 5.840054) (2.327943, 8.165246) (2.6367, 4.3389) (2.6489, 4.1419) (2.6515, 4.3138)
1.13673 1.458758 [2.966365] 0.4279 0.4164 0.4257
(0.5787959, 1.7155273) (0.779418, 2.238177) (0.9046, 1.3325) (0.8975, 1.3139) (0.9042, 1.3299)

4.05809 5.391884 [3.297632] 1.1866 1.108 1.1739
(1.575106, 5.633193) (2.349532, 7.741416) (2.9198, 4.1064) (2.9066, 4.0146) (2.9209, 4.0948)
2.29357 2.957763 [3.006009] 0.6575 0.6326 0.653
(1.157161, 3.450727) (1.565612, 4.523375) (1.9423, 2.5998) (1.9347, 2.5673) (1.9421, 2.5951)

3.9438 5.227407 [3.269421] 1.0633 1.0157 1.0556
(1.608629, 5.552424) (2.356143, 7.583550) (2.9352, 3.9985) (2.9191, 3.9348) (2.9352, 3.9908)
3.45715 4.469468 [3.026892] 0.9317 0.889 0.901
(1.733091, 5.190240) (2.351761, 6.821229) (2.9117, 3.8434) (2.9027, 3.7917) (2.9352, 3.8362)