From: Mixture models for analyzing product reliability data: a case study
Parameters | True values | Mean squared errors (MSEs) of MLEs | ||
---|---|---|---|---|
Set-01 [NÂ =Â 200; 10Â % cens. obs.] | Set-02 [NÂ =Â 200; 20Â % cens. obs.] | Set-03 [NÂ =Â 200; 30Â % 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 |