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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