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Table 1.

Patterns of item removal for varying values of m and n.

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Table 1 Expand

Fig 1.

Trace plot of MCMC estimates of ϑ.

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Fig 2.

Histogram of MCMC estimates of ϑ.

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Fig 2 Expand

Table 2.

Avg. and MSE of the MLE and BEs for ϑ at v = 0.5, δ1 = 0.25, and δ2 = 0.5 under POFIF-CS (h, m, n).

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Table 2 Expand

Table 3.

Avg. and MSE of the MLE and BEs for ϑ at v = 0.5, δ1 = 0.25, and δ2 = 0.5 under POFIF-CS (h, m, n).

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Table 3 Expand

Table 4.

Avg. and MSE of the MLE and BEs for ϑ at v = 1.5, δ1 = 1.5, and δ2 = 1.25 under POFIF-CS (h, m, n).

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Table 4 Expand

Table 5.

Avg. and MSE of the MLE and BEs for ϑ at v = 1.5, δ1 = 1.25, and δ2 = 1.5 under POFIF-CS (h, m, n).

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Table 5 Expand

Table 6.

AILs and CPs for ϑ at v = 0.5, δ1 = 0.25, and δ2 = 0.5 under POFIF-CS (h, m, n).

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Table 6 Expand

Table 7.

AILs and CPs for ϑ at v = 0.5, δ1 = 0.5, and δ2 = 0.25 under POFIF-CS (h, m, n).

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Table 7 Expand

Table 8.

AILs and CPs for ϑ at v = 1.5, δ1 = 1.5, and δ2 = 1.25 under POFIF-CS (h, m, n).

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Table 8 Expand

Table 9.

AILs and CPs for ϑ at v = 1.5, δ1 = 1.25, and δ2 = 1.5 under POFIF-CS (h, m, n).

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Table 9 Expand

Table 10.

Two datasets.

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Table 10 Expand

Fig 3.

The empirical distribution function and fitted distribution functions for data sets Q and T.

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Fig 3 Expand

Table 11.

The POFIF-C samples from the real data sets.

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Table 11 Expand

Fig 4.

Trace plot and histogram of MCMC samples using MH algorithm.

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Fig 4 Expand