Table 2 Point estimation results (Bias and MSE).

From: Multicomponent stress-strength reliability analysis using the inverted exponentiated rayleigh distribution under block adaptive type-II progressive hybrid censoring and k-records

Scen.

MLE

Bayes-TK

Bayes-TK

Bayes-TK

Bayes-MCMC

Bayes-MCMC

Bayes-MCMC

 

SE Loss

LINEX (\(c=1.5\))

LINEX (\(c=-1.5\))

SE loss

LINEX (\(c=1.5\))

LINEX (\(c=-1.5\))

Bias

MSE

Bias

MSE

Bias

MSE

Bias

MSE

Bias

MSE

Bias

MSE

Bias

MSE

1

0.0211

.0118

0.0150

.0095

0.0083

.0098

0.0218

.0099

0.0145

.0093

0.0079

.0096

0.0213

.0098

2

0.0130

.0069

0.0085

.0057

0.0038

.0059

0.0133

.0060

0.0081

.0055

0.0035

.0057

0.0128

.0058

3

0.0102

.0054

0.0066

.0044

0.0024

.0045

0.0108

.0046

0.0063

.0042

0.0021

.0043

0.0105

.0044

4

0.0179

.0099

0.0119

.0080

0.0059

.0082

0.0180

.0084

0.0115

.0078

0.0056

.0080

0.0175

.0082

5

0.0185

.0104

0.0123

.0083

0.0063

.0085

0.0184

.0087

0.0119

.0081

0.0060

.0083

0.0179

.0085

6

0.0191

.0110

0.0127

.0087

0.0066

.0089

0.0189

.0091

0.0123

.0085

0.0063

.0087

0.0184

.0089

7

0.0148

.0080

0.0099

.0067

0.0048

.0069

0.0150

.0070

0.0095

.0065

0.0045

.0067

0.0145

.0068

8

0.0142

.0075

0.0094

.0063

0.0044

.0065

0.0144

.0066

0.0090

.0061

0.0041

.0063

0.0139

.0064

9

0.0138

.0071

0.0090

.0060

0.0041

.0062

0.0139

.0063

0.0086

.0058

0.0038

.0060

0.0135

.0061

10

0.0135

.0072

0.0088

.0060

0.0041

.0062

0.0135

.0063

0.0085

.0058

0.0038

.0060

0.0132

.0061

11

0.0185

.0104

0.0123

.0083

0.0063

.0085

0.0184

.0087

0.0119

.0081

0.0060

.0083

0.0179

.0085

12

0.0142

.0075

0.0094

.0063

0.0044

.0065

0.0144

.0066

0.0090

.0061

0.0041

.0063

0.0139

.0064

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