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: 5923)
## Draws: 3 chains, each with iter = 10000; warmup = 2000; thin = 1;
## total post-warmup draws = 24000
##
## Family Specific Parameters:
## Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS
## nu 8.77 0.31 8.19 9.39 1.00 24743 18249
## 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) 0.68 0.01 0.67 0.69 1.00 13168
## rescor(trstlgl,trstplt) 0.70 0.01 0.69 0.72 1.00 13183
## rescor(trstprt,trstplt) 0.92 0.00 0.92 0.93 1.00 32934
## rescor(trstlgl,trstprl) 0.78 0.00 0.77 0.79 1.00 18290
## rescor(trstprt,trstprl) 0.78 0.00 0.78 0.79 1.00 30871
## rescor(trstplt,trstprl) 0.80 0.00 0.79 0.81 1.00 31351
## rescor(trstlgl,trstplc) 0.76 0.01 0.75 0.77 1.00 28364
## rescor(trstprt,trstplc) 0.57 0.01 0.55 0.59 1.00 23679
## rescor(trstplt,trstplc) 0.59 0.01 0.57 0.60 1.00 23896
## rescor(trstprl,trstplc) 0.64 0.01 0.63 0.66 1.00 26844
## rescor(trstlgl,stfeco) 0.47 0.01 0.45 0.49 1.00 18871
## rescor(trstprt,stfeco) 0.43 0.01 0.41 0.45 1.00 20198
## rescor(trstplt,stfeco) 0.44 0.01 0.42 0.47 1.00 20901
## rescor(trstprl,stfeco) 0.50 0.01 0.48 0.52 1.00 21581
## rescor(trstplc,stfeco) 0.44 0.01 0.42 0.46 1.00 20071
## rescor(trstlgl,stfhlth) 0.41 0.01 0.39 0.43 1.00 18264
## rescor(trstprt,stfhlth) 0.39 0.01 0.36 0.41 1.00 19274
## rescor(trstplt,stfhlth) 0.39 0.01 0.37 0.41 1.00 19642
## rescor(trstprl,stfhlth) 0.41 0.01 0.38 0.43 1.00 19814
## rescor(trstplc,stfhlth) 0.34 0.01 0.31 0.36 1.00 18722
## rescor(stfeco,stfhlth) 0.57 0.01 0.56 0.59 1.00 28299
## rescor(trstlgl,stfedu) 0.41 0.01 0.39 0.43 1.00 19442
## rescor(trstprt,stfedu) 0.36 0.01 0.34 0.39 1.00 19822
## rescor(trstplt,stfedu) 0.36 0.01 0.34 0.39 1.00 19861
## rescor(trstprl,stfedu) 0.41 0.01 0.39 0.43 1.00 20653
## rescor(trstplc,stfedu) 0.38 0.01 0.36 0.40 1.00 19629
## rescor(stfeco,stfedu) 0.57 0.01 0.55 0.58 1.00 27375
## rescor(stfhlth,stfedu) 0.62 0.01 0.60 0.63 1.00 34132
## Tail_ESS
## rescor(trstlgl,trstprt) 17229
## rescor(trstlgl,trstplt) 15793
## rescor(trstprt,trstplt) 19833
## rescor(trstlgl,trstprl) 18101
## rescor(trstprt,trstprl) 18995
## rescor(trstplt,trstprl) 19001
## rescor(trstlgl,trstplc) 19449
## rescor(trstprt,trstplc) 19709
## rescor(trstplt,trstplc) 18931
## rescor(trstprl,trstplc) 19493
## rescor(trstlgl,stfeco) 18499
## rescor(trstprt,stfeco) 18961
## rescor(trstplt,stfeco) 19320
## rescor(trstprl,stfeco) 18708
## rescor(trstplc,stfeco) 18741
## rescor(trstlgl,stfhlth) 18574
## rescor(trstprt,stfhlth) 19215
## rescor(trstplt,stfhlth) 19132
## rescor(trstprl,stfhlth) 18602
## rescor(trstplc,stfhlth) 18058
## rescor(stfeco,stfhlth) 19344
## rescor(trstlgl,stfedu) 18617
## rescor(trstprt,stfedu) 18261
## rescor(trstplt,stfedu) 18684
## rescor(trstprl,stfedu) 19711
## rescor(trstplc,stfedu) 18264
## rescor(stfeco,stfedu) 20072
## rescor(stfhlth,stfedu) 18642
##
## 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: Korrelationsanalyse 2018 (1)
Posterior-Verteilung: Korrelationsanalyse 2018 (2)
Posterior-Verteilung: Korrelationsanalyse 2018 (3)
Posterior-Verteilung: Korrelationsanalyse 2018 (4)
Trace Plots
Trace-Plot: Korrelationsanalyse 2018 (1)
Trace-Plot: Korrelationsanalyse 2018 (2)
Trace-Plot: Korrelationsanalyse 2018 (3)
Trace-Plot: Korrelationsanalyse 2018 (4)
Trace-Plot: Korrelationsanalyse 2018 (5)
Trace-Plot: Korrelationsanalyse 2018 (6)
Trace-Plot: Korrelationsanalyse 2018 (7)
Autokorrelation
Autokorrelation-Plot: Korrelationsanalyse 2018 (1)
Autokorrelation-Plot: Korrelationsanalyse 2018 (2)
Autokorrelation-Plot: Korrelationsanalyse 2018 (3)
Autokorrelation-Plot: Korrelationsanalyse 2018 (4)
Autokorrelation-Plot: Korrelationsanalyse 2018 (5)
Autokorrelation-Plot: Korrelationsanalyse 2018 (6)
Autokorrelation-Plot: Korrelationsanalyse 2018 (7)
Copyright: 
Benedikt Philipp Kleer, 2022 (Online-Appendix zur Promotion, eingereicht am 14. September 2022, Fachbereich 03, Justus-Liebig-Universität Gießen).