Research Article
Estimation for Weibull Parameters with Generalized Progressive Hybrid Censored Data
Table 4
AWs and CPs (within brackets) of the ACIs and HPD credible intervals under generalized progressively hybrid censored data with
.
| | ACI | NIP HPD | IP HPD | | | | | | | | |
| 1 | 10 | 2.075 9[0.958 9] | 2.593 2[0.961 0] | 1.870 0[0.957 4] | 2.175 4[0.960 5] | 1.551 9[0.978 9] | 1.448 8[0.966 4] | 13 | 1.655 2[0.953 3] | 1.347 5[0.955 3] | 1.536 5[0.950 2] | 1.276 1[0.951 2] | 1.370 6[0.969 0] | 1.150 3[0.961 6] | 2 | 10 | 2.119 9[0.964 0] | 3.294 6[0.968 1] | 1.898 1[0.960 6] | 2.796 3[0.966 3] | 1.521 0[0.981 6] | 1.613 3[0.971 9] | 13 | 1.741 2[0.954 7] | 1.768 6[0.968 9] | 1.605 3[0.952 5] | 1.627 4[0.966 2] | 1.392 8[0.972 0] | 1.297 7[0.970 6] | 3 | 15 | 1.555 4[0.956 9] | 1.343 0[0.964 2] | 1.451 2[0.954 0] | 1.268 4[0.957 1] | 1.303 1[0.970 5] | 1.128 5[0.964 7] | 18 | 1.339 6[0.953 6] | 1.049 6[0.959 0] | 1.266 2[0.948 1] | 1.012 3[0.949 4] | 1.172 7[0.964 4] | 0.961 1[0.956 3] | 4 | 30 | 1.031 2[0.954 4] | 0.828 3[0.956 1] | 0.987 4[0.948 0] | 0.806 5[0.947 5] | 0.940 2[0.957 6] | 0.777 6[0.951 4] | 35 | 0.926 3[0.952 7] | 0.708 0[0.949 7] | 0.890 5[0.947 5] | 0.693 7[0.946 4] | 0.857 4[0.952 7] | 0.680 3[0.951 4] | 5 | 30 | 0.959 5[0.952 6] | 0.763 1[0.951 0] | 0.920 8[0.947 7] | 0.746 2[0.949 3] | 0.884 4[0.954 8] | 0.730 3[0.952 7] | 35 | 0.847 7[0.949 8] | 0.691 6[0.946 9] | 0.816 7[0.944 1] | 0.679 3[0.946 2] | 0.790 6[0.950 5] | 0.668 4[0.951 6] | 6 | 30 | 0.998 7[0.955 4] | 0.789 6[0.958 9] | 0.956 4[0.950 4] | 0.770 8[0.952 7] | 0.915 5[0.957 1] | 0.749 7[0.956 5] | 35 | 0.891 6[0.950 6] | 0.695 8[0.948 9] | 0.857 4[0.943 9] | 0.682 9[0.946 6] | 0.828 7[0.951 8] | 0.671 1[0.950 3] |
| | ACI | NIP HPD | IP HPD | | | | | | | | |
| 1 | 10 | 2.075 9[0.958 9] | 2.593 2[0.961 0] | 1.870 0[0.957 4] | 2.175 4[0.960 5] | 1.551 9[0.978 9] | 1.448 8[0.966 4] | 13 | 1.655 2[0.953 3] | 1.347 5[0.955 3] | 1.536 5[0.950 2] | 1.276 1[0.951 2] | 1.370 6[0.969 0] | 1.150 3[0.961 6] | 2 | 10 | 2.119 9[0.964 0] | 3.294 6[0.968 1] | 1.898 1[0.960 6] | 2.796 3[0.966 3] | 1.521 0[0.981 6] | 1.613 3[0.971 9] | 13 | 1.741 2[0.954 7] | 1.768 6[0.968 9] | 1.605 3[0.952 5] | 1.627 4[0.966 2] | 1.392 8[0.972 0] | 1.297 7[0.970 6] | 3 | 15 | 1.555 4[0.956 9] | 1.343 0[0.964 2] | 1.451 2[0.954 0] | 1.268 4[0.957 1] | 1.303 1[0.970 5] | 1.128 5[0.964 7] | 18 | 1.339 6[0.953 6] | 1.049 6[0.959 0] | 1.266 2[0.948 1] | 1.012 3[0.949 4] | 1.172 7[0.964 4] | 0.961 1[0.956 3] | 4 | 30 | 1.031 2[0.954 4] | 0.828 3[0.956 1] | 0.987 4[0.948 0] | 0.806 5[0.947 5] | 0.940 2[0.957 6] | 0.777 6[0.951 4] | 35 | 0.926 3[0.952 7] | 0.708 0[0.949 7] | 0.890 5[0.947 5] | 0.693 7[0.946 4] | 0.857 4[0.952 7] | 0.680 3[0.951 4] | 5 | 30 | 0.959 5[0.952 6] | 0.763 1[0.951 0] | 0.920 8[0.947 7] | 0.746 2[0.949 3] | 0.884 4[0.954 8] | 0.730 3[0.952 7] | 35 | 0.847 7[0.949 8] | 0.691 6[0.946 9] | 0.816 7[0.944 1] | 0.679 3[0.946 2] | 0.790 6[0.950 5] | 0.668 4[0.951 6] | 6 | 30 | 0.998 7[0.955 4] | 0.789 6[0.958 9] | 0.956 4[0.950 4] | 0.770 8[0.952 7] | 0.915 5[0.957 1] | 0.749 7[0.956 5] | 35 | 0.891 6[0.950 6] | 0.695 8[0.948 9] | 0.857 4[0.943 9] | 0.682 9[0.946 6] | 0.828 7[0.951 8] | 0.671 1[0.950 3] |
|
|