Table 2 Estimated AVG and MSE under EM and SEM with fixed value, \(\tau\) = 5, \(\lambda\) = 1.5, \(\beta\) = 0.9, \(\zeta\) = 1.3, \(\phi\) = 1.75, p = 0.5.

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

1.1050

0.6717

0.7336

1.1363

MSE

0.5394

0.2312

0.3226

0.3526

SEM

AVG

1.5946

0.5005

0.7154

1.1246

MSE

0.3367

0.1445

0.2014

0.2202

30

EM

AVG

1.0716

0.6874

0.7238

1.1653

MSE

0.2357

0.1010

0.1411

0.1540

SEM

AVG

1.5558

0.5031

0.6966

1.1759

MSE

0.5880

0.2521

0.3515

0.3843

20

EM

AVG

1.0965

0.6666

0.7305

1.1511

MSE

0.3670

0.1573

0.2195

0.2400

SEM

AVG

1.5427

0.5026

0.6868

1.1944

MSE

0.2570

0.1102

0.1538

0.1681

150

100

EM

AVG

1.1257

0.6503

0.7117

1.1761

MSE

0.6408

0.2748

0.3833

0.4188

SEM

AVG

1.4991

0.4850

0.6839

1.1384

MSE

0.4001

0.1716

0.2393

0.2615

60

EM

AVG

1.1008

0.6668

0.7251

1.1209

MSE

0.2801

0.1202

0.1676

0.1832

SEM

AVG

1.5035

0.5088

0.7094

1.1712

MSE

0.4309

0.1847

0.2580

0.2818

30

EM

AVG

1.0967

0.6389

0.7271

1.1818

MSE

0.2691

0.1153

0.1610

0.1760

SEM

AVG

1.5595

0.5109

0.7312

1.1594

MSE

0.1883

0.0807

0.1127

0.1231