Modellübersicht
## Family: MV(student, student, student, student, student, student, student, student)
## Links: mu = identity; sigma = log; nu = identity
## mu = identity; sigma = log; nu = identity
## mu = identity; sigma = log; nu = identity
## mu = identity; sigma = log; nu = identity
## mu = identity; sigma = log; nu = identity
## mu = identity; sigma = log; nu = identity
## mu = identity; sigma = log; nu = identity
## mu = identity; sigma = log; nu = identity
## Formula: trstlgl ~ 0
## sigma ~ 0
## trstprt ~ 0
## sigma ~ 0
## trstplt ~ 0
## sigma ~ 0
## trstprl ~ 0
## sigma ~ 0
## trstplc ~ 0
## sigma ~ 0
## stfeco ~ 0
## sigma ~ 0
## stfhlth ~ 0
## sigma ~ 0
## stfedu ~ 0
## sigma ~ 0
## Data: . (Number of observations: 5951)
## Draws: 3 chains, each with iter = 16000; warmup = 4000; thin = 1;
## total post-warmup draws = 36000
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## nu 8.08 0.27 7.56 8.62 1.00 39076 29841
## nu_trstlgl 1.00 0.00 1.00 1.00 NA NA NA
## nu_trstprt 1.00 0.00 1.00 1.00 NA NA NA
## nu_trstplt 1.00 0.00 1.00 1.00 NA NA NA
## nu_trstprl 1.00 0.00 1.00 1.00 NA NA NA
## nu_trstplc 1.00 0.00 1.00 1.00 NA NA NA
## nu_stfeco 1.00 0.00 1.00 1.00 NA NA NA
## nu_stfhlth 1.00 0.00 1.00 1.00 NA NA NA
## nu_stfedu 1.00 0.00 1.00 1.00 NA NA NA
##
## Residual Correlations:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS
## rescor(trstlgl,trstprt) 0.67 0.01 0.66 0.68 1.00 22144
## rescor(trstlgl,trstplt) 0.70 0.01 0.68 0.71 1.00 21539
## rescor(trstprt,trstplt) 0.91 0.00 0.91 0.92 1.00 47911
## rescor(trstlgl,trstprl) 0.74 0.01 0.73 0.75 1.00 29117
## rescor(trstprt,trstprl) 0.77 0.00 0.76 0.78 1.00 49074
## rescor(trstplt,trstprl) 0.79 0.00 0.78 0.80 1.00 48461
## rescor(trstlgl,trstplc) 0.70 0.01 0.68 0.71 1.00 43051
## rescor(trstprt,trstplc) 0.55 0.01 0.53 0.56 1.00 39352
## rescor(trstplt,trstplc) 0.57 0.01 0.56 0.59 1.00 39241
## rescor(trstprl,trstplc) 0.57 0.01 0.56 0.59 1.00 40822
## rescor(trstlgl,stfeco) 0.48 0.01 0.46 0.50 1.00 35836
## rescor(trstprt,stfeco) 0.50 0.01 0.48 0.52 1.00 41890
## rescor(trstplt,stfeco) 0.52 0.01 0.50 0.53 1.00 42819
## rescor(trstprl,stfeco) 0.51 0.01 0.49 0.53 1.00 42773
## rescor(trstplc,stfeco) 0.38 0.01 0.36 0.40 1.00 38358
## rescor(trstlgl,stfhlth) 0.31 0.01 0.29 0.34 1.00 32565
## rescor(trstprt,stfhlth) 0.37 0.01 0.35 0.39 1.00 35036
## rescor(trstplt,stfhlth) 0.38 0.01 0.36 0.40 1.00 35509
## rescor(trstprl,stfhlth) 0.34 0.01 0.31 0.36 1.00 34195
## rescor(trstplc,stfhlth) 0.25 0.01 0.22 0.28 1.00 32980
## rescor(stfeco,stfhlth) 0.39 0.01 0.37 0.42 1.00 38011
## rescor(trstlgl,stfedu) 0.31 0.01 0.28 0.33 1.00 35379
## rescor(trstprt,stfedu) 0.29 0.01 0.27 0.32 1.00 35245
## rescor(trstplt,stfedu) 0.31 0.01 0.28 0.33 1.00 35586
## rescor(trstprl,stfedu) 0.28 0.01 0.25 0.30 1.00 34785
## rescor(trstplc,stfedu) 0.25 0.01 0.22 0.28 1.00 34412
## rescor(stfeco,stfedu) 0.36 0.01 0.34 0.38 1.00 38165
## rescor(stfhlth,stfedu) 0.57 0.01 0.55 0.58 1.00 47402
## Tail_ESS
## rescor(trstlgl,trstprt) 26224
## rescor(trstlgl,trstplt) 25024
## rescor(trstprt,trstplt) 30166
## rescor(trstlgl,trstprl) 27502
## rescor(trstprt,trstprl) 30618
## rescor(trstplt,trstprl) 29965
## rescor(trstlgl,trstplc) 28360
## rescor(trstprt,trstplc) 28776
## rescor(trstplt,trstplc) 28880
## rescor(trstprl,trstplc) 28806
## rescor(trstlgl,stfeco) 28509
## rescor(trstprt,stfeco) 28289
## rescor(trstplt,stfeco) 28190
## rescor(trstprl,stfeco) 28773
## rescor(trstplc,stfeco) 28870
## rescor(trstlgl,stfhlth) 28199
## rescor(trstprt,stfhlth) 30053
## rescor(trstplt,stfhlth) 29710
## rescor(trstprl,stfhlth) 29355
## rescor(trstplc,stfhlth) 29580
## rescor(stfeco,stfhlth) 29146
## rescor(trstlgl,stfedu) 28906
## rescor(trstprt,stfedu) 29446
## rescor(trstplt,stfedu) 29168
## rescor(trstprl,stfedu) 28365
## rescor(trstplc,stfedu) 28570
## rescor(stfeco,stfedu) 29368
## rescor(stfhlth,stfedu) 28484
##
## Draws were sampled using sampling(NUTS). For each parameter, Bulk_ESS
## and Tail_ESS are effective sample size measures, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).Posterior-Verteilung
Posterior-Verteilung: Robuste Korrelationsanalyse 2004 (1)
Posterior-Verteilung: Robuste Korrelationsanalyse 2004 (2)
Posterior-Verteilung: Robuste Korrelationsanalyse 2004 (3)
Posterior-Verteilung: Robuste Korrelationsanalyse 2004 (4)
Trace Plots
Trace-Plot: Robuste Korrelationsanalyse 2004 (1)
Trace-Plot: Robuste Korrelationsanalyse 2004 (2)
Trace-Plot: Robuste Korrelationsanalyse 2004 (3)
Trace-Plot: Robuste Korrelationsanalyse 2004 (4)
Trace-Plot: Robuste Korrelationsanalyse 2004 (5)
Trace-Plot: Robuste Korrelationsanalyse 2004 (6)
Trace-Plot: Robuste Korrelationsanalyse 2004 (7)
Autokorrelation
Autokorrelation-Plot: Robuste Korrelationsanalyse 2004 (1)
Autokorrelation-Plot: Robuste Korrelationsanalyse 2004 (2)
Autokorrelation-Plot: Robuste Korrelationsanalyse 2004 (3)
Autokorrelation-Plot: Robuste Korrelationsanalyse 2004 (4)
Autokorrelation-Plot: Robuste Korrelationsanalyse 2004 (5)
Autokorrelation-Plot: Robuste Korrelationsanalyse 2004 (6)
Autokorrelation-Plot: Robuste Korrelationsanalyse 2004 (7)
Copyright: 
Benedikt Philipp Kleer, 2022 (Online-Appendix zur Promotion, eingereicht am 14. September 2022, Fachbereich 03, Justus-Liebig-Universität Gießen).