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Table 5 Posterior summary of the analytic approximation using the function LaplaceApproximation , which is based an asymptotic approximation theory

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

Logistic model (k =1)

Parameter

Mode

SD

LB

UB

Beta[1]

62.90

6.11

50.69

75.12

Beta[2]

-17.35

1.74

-20.84

-13.87

Log.sigma

-0.16

0.10

-0.35

0.04

Weibull model (k =30)

Parameter

Mode

SD

LB

UB

Beta[1]

64.87

5.62

53.62

76.11

Beta[2]

-17.74

1.61

-20.96

-14.53

Log.sigma

0.23

0.09

0.06

0.41