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Table 6 Mean squared errors for different percent of censored observations

From: Mixture models for analyzing product reliability data: a case study

Parameters

True values

Mean squared errors (MSEs) of MLEs

Set-01 [N = 200; 10 % cens. obs.]

Set-02 [N = 200; 20 % cens. obs.]

Set-03 [N = 200; 30 % cens. obs.]

\(\hat{\beta }_{1}\)

3.50

2.17953

2.6223

4.2156

\(\hat{\alpha }_{1}\)

700.00

3232.01855

4873.0835

9777.0312

\(\hat{\beta }_{2}\)

1.20

0.15011

0.0619

0.0711

\(\hat{\alpha }_{2}\)

850.00

87452.76431

1614229.0410

269,062.7034

\(\hat{p}\)

0.30

0.00114

0.0391

0.0500

\(\left( {1 - \hat{p}} \right)\)

0.70

0.03382

0.0391

0.0500