Skip to main content

Table 3 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 5.10 0.10 0.01 481.56 4.92 5.10 5.30
Log.sigma -0.92 0.16 0.01 427.68 -1.25 -0.91 -0.59
Deviance 149.55 2.31 0.18 360.81 147.27 149.05 155.11
LP -86.27 1.15 0.09 360.82 -89.05 -86.02 -85.13
Sigma 0.40 0.07 0.00 442.40 0.29 0.40 0.55
Weibull model (k =30)
Parameter Mean SD MCSE ESS LB Median UB
Beta 5.24 0.10 0.01 373.50 5.07 5.22 5.46
Log.sigma -0.80 0.16 0.01 360.03 -1.11 -0.79 -0.50
Deviance 149.62 2.14 0.15 334.67 147.55 148.94 155.09
LP -86.31 1.07 0.07 334.66 -89.04 -85.97 -85.27
Sigma 0.46 0.07 0.00 373.10 0.33 0.45 0.61