Fig 1.
Adaptive type-II progressive hybrid censoring model as proposed by Ng et al., (2009).
(a) Experiment ends before time T. (b) Experiment ends after time T.
Fig 2.
The HF of the WD with scale parameter β = 4 and different values for the shape parameter α.
Fig 3.
HF of the IWD with a shape parameter α = 1.5 and different values for the scale parameter β.
Fig 4.
α = 1.5.
Fig 5.
α = 1.5.
Table 1.
Bias and MSE of θ with for different censoring schemes when θ = 0.4..
Table 2.
Bias and MSE of θ with for different censoring schemes when θ = 0.4.
Table 3.
Bias and MSE of θ with T3 = Xm + 2 for different censoring schemes when θ = 0.4.
Table 4.
Bias and MSE of θ with for different censoring schemes when θ = 0.6.
Table 5.
Bias and MSE of θ with for different censoring schemes when θ = 0.6.
Table 6.
Bias and MSE of θ with T3 = Xm + 2 for different censoring schemes when θ = 0.6.
Table 7.
Bias and MSE of θ with for different censoring schemes when θ = 0.9.
Table 8.
Bias and MSE of θ with for different censoring schemes when θ = 0.9.
Table 9.
Bias and MSE of θ with T3 = Xm+2 for different censoring schemes when θ = 0.9.
Table 10.
Breakdown times (in minutes) for data I and data II.
Table 11.
Test statistic and p-value associated with each test for example 1.
Fig 6.
Estimated PDF of data I.
Fig 7.
Estimated PDF of data II.
Fig 8.
Q-Q plot for data I.
Fig 9.
Q-Q plot for data II.
Table 12.
Adaptive type-II censored samples form data I and data II.
Table 13.
Estimates of θ for example 1.
Table 14.
Bootstrap confidence intervals for the considered estimates of θ for example 1.
Table 15.
Standard error and average value for each estimate after bootstrapping for example 1.
Table 16.
Survival times (in months) for data 1 and data 2.
Table 17.
Test statistic and p-value associated with each test for example 2.
Fig 10.
Estimated PDF of data 1.
Fig 11.
Estimated PDF of data 2.
Fig 12.
Q-Q plot for data 1.
Fig 13.
Q-Q plot for data 2.
Table 18.
Adaptive type-II censored samples form data 1 and data 2.
Table 19.
Estimates of θ for example 2.
Table 20.
Bootstrap confidence intervals for each estimate of θ for example 2.
Table 21.
Standard error and average value for each estimate after bootstrapping for example 2.