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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