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 [NÂ =Â 200; 20Â % cens. obs.] | Set-05 [NÂ =Â 400; 20Â % cens. obs.] | Set-06 [NÂ =Â 600; 20Â % 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 |