Table 1 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.

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

1.0451

0.6410

0.7104

1.1110

MSE

0.7007

0.3005

0.4191

0.4581

SEM

AVG

1.5167

0.4956

0.7013

1.1357

MSE

0.4376

0.1875

0.2615

0.2859

30

EM

AVG

1.0219

0.6368

0.7010

1.1724

MSE

0.3062

0.1312

0.1832

0.2002

SEM

AVG

1.5400

0.5132

0.7035

1.1761

MSE

0.7636

0.3272

0.4567

0.4994

20

EM

AVG

1.0024

0.6753

0.6933

1.1439

MSE

0.4769

0.2043

0.2853

0.3118

SEM

AVG

1.6377

0.5026

0.7006

1.1710

MSE

0.3338

0.1433

0.1997

0.2181

150

100

EM

AVG

1.0544

0.6174

0.7111

1.1349

MSE

0.8324

0.3568

0.4979

0.5443

SEM

AVG

1.5915

0.5096

0.7189

1.1615

MSE

0.5197

0.2229

0.3107

0.3397

60

EM

AVG

1.0379

0.6325

0.7460

1.1823

MSE

0.3640

0.1561

0.2175

0.2379

SEM

AVG

1.5337

0.5294

0.7457

1.1709

MSE

0.5600

0.2401

0.3348

0.3661

30

EM

AVG

1.0726

0.6367

0.7120

1.0942

MSE

0.3497

0.1500

0.2091

0.2286

SEM

AVG

1.5596

0.5211

0.7169

1.1826

MSE

0.2446

0.1048

0.1463

0.1599