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Table 7 Mean squared errors for different sample sizes

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

Parameters True values Mean squared errors (MSEs) of MLEs
Set-04 [N = 200; 20 % cens. obs.] Set-05 [N = 400; 20 % cens. obs.] Set-06 [N = 600; 20 % cens. obs.]
\(\hat{\beta }_{1}\) 3.50 2.6223 1.9544 1.5033
\(\hat{\alpha }_{1}\) 700.00 4873.0835 1907.8766 1574.6524
\(\hat{\beta }_{2}\) 1.20 0.0619 0.0294 0.0210
\(\hat{\alpha }_{2}\) 850.00 1614229.0410 25655.13287 10622.3852
\(\hat{p}\) 0.30 0.0391 0.0242 0.0159
\(\left( {1 - \hat{p}} \right)\) 0.70 0.0391 0.0242 0.0159