Research Article

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

Table 7

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

1.13535 1.441475 [3.029834] 0.6736 0.6537 0.6704
(0.5924266, 1.7277759) (0.802400, 2.243875) (0.7505, 1.4241) (0.7568, 1.4105) (0.7517, 1.4221)
1.0079 1.195897 [2.431916] 0.5714 0.5585 0.5693
(0.6011738, 1.6090738) (0.756660, 1.952557) (0.7766, 1.3480) (0.7786, 1.3371) (0.7772, 1.3465)

1.03659 1.290073 [2.861497] 0.5053 0.4943 0.5036
(0.6210150, 1.6576012) (0.805222, 2.095295) (0.8404, 1.3457) (0.8421, 1.3364) (0.8409, 1.3445)
1.96599 2.336601 [2.444149] 0.9327 0.8825 0.9249
(1.226844, 3.192829) (1.531410, 3.868011) (1.6816, 2.6143) (1.6950, 2.5775) (1.6844, 2.6093)

1.00217 1.238806 [2.801578] 0.4245 0.4145 0.423
(0.6305741, 1.632746) (0.805794, 2.044599) (0.8848, 1.3093) (0.8848, 1.2993) (0.8849, 1.3079)
2.91598 3.471131 [2.45426] 1.2101 1.10717 1.194
(1.856743, 4.772727) (2.309851, 5.780982) (2.6382, 3.8483) (2.66343, 3.7706) (2.6429, 3.8369)

2.07318 2.580142 [2.861492] 1.0107 0.9546 1.0023
(1.242028, 3.315206) (1.610445, 4.190587) (1.6808, 2.6915) (1.6934, 2.6480) (1.6835, 2.6858)
0.983 1.168299 [2.444144] 0.4663 0.4571 0.4646
(0.6134203, 1.5964171) (0.765705, 1.934004) (0.8408, 1.3071) (0.8407, 1.2978) (0.8413, 1.3059)

1.96999 2.426357 [2.768508] 0.7477 0.7211 0.7439
(1.270139, 3.240126) (1.611282, 4.037639) (1.8255, 2.5732) (1.8280, 2.5491) (1.8264, 2.5703)
1.93131 2.301952 [2.461984] 0.7208 0.6938 0.7162
(1.244336, 3.175642) (1.545066, 3.847018) (1.8113, 2.5321) (1.8151, 2.5089) (1.8123, 2.5285)

1.93619 2.37571 [2.731208] 0.6222 0.6938 0.6192
(1.278243, 3.214431) (1.609624, 3.985334) (1.8946, 2.5168) (1.8942, 2.4972) (1.8948, 2.5140)
2.87555 3.434175 [2.475603] 0.9124 0.8621 0.9042
(1.877916, 4.753462) (2.327609, 5.761784) (2.8180, 3.7304) (2.8259, 3.6880) (2.8200, 3.7242)

3.00653 3.716418 [2.801586] 1.2737 1.172 1.258
(1.891721, 4.898246) (2.417387, 6.133805) (2.6544, 3.9281) (2.6668, 3.8388) (2.6585, 3.9165)
0.972 1.157043 [2.454261] 0.40339 0.39493 0.40167
(0.6189131, 1.5909124) (0.769952, 1.926994) (0.8794, 1.28279) (0.8769, 1.27183) (0.8794, 1.28107)

2.90428 3.56358 [2.73123] 0.9335 0.8884 0.9265
(1.917364, 4.821645) (2.414436, 5.978016) (2.8418, 3.7753) (2.8420, 3.7304) (2.8427, 3.7692)
1.91703 2.289456 [2.475615] 0.6083 0.5889 0.6047
(1.251943, 3.168972) (1.551738, 3.841194) (1.8787, 2.4870) (1.8784, 2.4673) (1.8795, 2.4842)

2.87151 3.514358 [2.704448] 0.7726 0.7435 0.7682
(1.924054, 4.795567) (2.411125, 5.925483) (2.9299, 3.7025) (2.9263, 3.6698) (2.9299, 3.6981)
2.8594 3.42188 [2.488985] 0.7619 0.7293 0.7564
(1.886973, 4.746374) (2.335907, 5.757787) (2.9074, 3.6693) (2.9074, 3.6367) (2.9086, 3.6650)