Table 5 Estimated AVG and MSE under EM and SEM with fixed value, \(\tau\) = 3.5, \(\lambda\) = 2.5, \(\beta\) = 0.8, \(\zeta\) = 1.2, \(\phi\) = 1.5, p = 0.5 (when N = 1000).

From: Algorithms and approximations for the modified Weibull model under censoring with application to the lifetimes of electrical appliances

n

m

Method

 

\(\hat{\lambda }\)

\(\hat{\beta }\)

\(\hat{\zeta }\)

\(\hat{\phi }\)

80

40

EM

AVG

1.0346

0.6539

0.7319

1.1333

MSE

1.2063

0.5174

0.7215

0.7887

SEM

AVG

1.5470

0.5006

0.7225

1.1700

MSE

0.7534

0.3228

0.4502

0.4922

30

EM

AVG

1.0219

0.6241

0.7010

1.2197

MSE

0.5272

0.2258

0.3154

0.3447

SEM

AVG

1.5865

0.5183

0.7104

1.1643

MSE

1.3146

0.5633

0.7862

0.8598

20

EM

AVG

1.0224

0.6819

0.7143

1.1437

MSE

0.8210

0.3518

0.4911

0.5368

SEM

AVG

1.6872

0.4976

0.7218

1.2183

MSE

0.5747

0.2467

0.3438

0.3755

150

100

EM

AVG

1.0862

0.6297

0.7398

1.1124

MSE

1.4331

0.6143

0.8572

0.9371

SEM

AVG

1.6235

0.5147

0.7406

1.1848

MSE

0.8947

0.3838

0.5349

0.5848

60

EM

AVG

1.0481

0.6199

0.7686

1.2059

MSE

0.6267

0.2687

0.3745

0.4095

SEM

AVG

1.5488

0.5294

0.7530

1.1824

MSE

0.9641

0.4133

0.5764

0.6303

30

EM

AVG

1.0619

0.6494

0.6979

1.1162

MSE

0.6020

0.2582

0.3600

0.3935

SEM

AVG

1.6226

0.5211

0.7239

1.2183

MSE

0.4211

0.1804

0.2519

0.2753