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 |