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Table 7 Posterior summaries of simulation due to all samples using the function LaplacesDemon

From: Bayesian analysis of generalized log-Burr family with R

Logistic model (k =1)

Parameter

Mean

SD

MCSE

ESS

LB

Median

UB

Beta[1]

64.45

5.90

0.32

32.69

51.07

66.30

74.19

Beta[2]

-17.80

1.68

0.09

32.38

-20.56

-18.32

-14.00

Log.sigma

-0.14

0.09

0.00

506.99

-0.31

-0.14

0.05

Deviance

283.17

2.45

0.11

518.19

280.37

282.62

288.83

LP

-160.91

1.23

0.06

518.19

-163.74

-160.64

-159.51

Sigma

0.87

0.08

0.00

508.50

0.73

0.87

1.05

Weibull model (k =30)

Parameter

Mean

SD

MCSE

ESS

LB

Median

UB

Beta[1]

65.60

5.40

0.14

556.65

54.55

66.22

75.84

Beta[2]

-17.95

1.54

0.04

557.46

-20.87

-18.13

-14.77

Log.sigma

0.25

0.09

0.00

1652.97

0.08

0.25

0.44

Deviance

278.33

2.35

0.06

2000.00

275.61

277.75

284.22

LP

-158.50

1.17

0.03

2000.00

-161.44

-158.20

-157.13

Sigma

1.29

0.12

0.00

1656.80

1.08

1.29

1.55