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Mixed Discrete-Continuous Railway Disruption-Length Models with Copulas
Aurelius Zilko
Applied Probability
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Dissertation (TU Delft)
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Dive into the research topics of 'Mixed Discrete-Continuous Railway Disruption-Length Models with Copulas'. Together they form a unique fingerprint.
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INIS
railways
100%
length
100%
distribution
83%
prediction
50%
values
33%
passengers
33%
control
16%
flow models
16%
universities
16%
travel
16%
construction
16%
transport
16%
netherlands
16%
performance
16%
probabilistic estimation
16%
planning
16%
Mathematics
Prediction
100%
Copula
100%
Conditional Distribution
66%
Joint Distribution
66%
Control
33%
Variables
33%
Observed Value
33%
Probabilistic Distribution
33%
Parameter Estimation
33%
Keyphrases
Discrete-continuous
100%
Short-turning
33%
Vine
33%
Probabilistic Distribution
33%
Dependence Models
33%
Passenger Flow Simulation
33%
Psychology
Copula
100%
Conditioning
50%
Case Study
50%
Economics, Econometrics and Finance
Travel Time
100%
Engineering
Operational Control
12%