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Table 8 Posterior summaries of simulation due to stationary samples using the same function

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

Logistic model (k =1)
Parameter Mean SD MCSE ESS LB Median UB
Beta[1] 62.98 6.34 0.29 420.00 50.54 62.82 75.45
Beta[2] -17.38 1.81 0.08 420.00 -20.88 -17.35 -13.85
Log.sigma -0.13 0.09 0.00 420.00 -0.31 -0.13 0.05
Deviance 283.20 2.59 0.14 364.17 280.33 282.65 289.18
LP -160.93 1.30 0.06 364.16 -163.92 -160.65 -159.49
Sigma 0.88 0.08 0.00 420.00 0.73 0.87 1.05
Weibull model (k =30)
Parameter Mean SD MCSE ESS LB Median UB
Beta[1] 65.24 5.56 0.13 1586.43 54.29 65.26 76.01
Beta[2] -17.85 1.59 0.04 1586.97 -20.93 -17.86 -14.70
Log.sigma 0.25 0.09 0.00 1430.58 0.08 0.25 0.44
Deviance 278.37 2.37 0.06 1800.00 275.60 277.78 284.39
LP -158.52 1.18 0.03 1800.00 -161.52 -158.22 -157.13
Sigma 1.29 0.12 0.00 1427.11 1.08 1.29 1.55