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Modeling Hourly Ozone Concentration Fields
Dynamic linear model hierarchical Bayes ozone random field space–time fields
2010/4/29
This paper presents a dynamic linearmodel for modeling hourly ozone concentrations over
the eastern United States. That model, which is developed within an Bayesian hierarchical framework,inherits th...
Inferring Markov Chains：Bayesian Estimation，Model Comparison，Entropy Rate，and Out-of-class Modeling
Markov Chains Bayesian Estimation Model Comparison Entropy Rate Out-of-class Modeling
2010/4/27
Markov chains are a natural and well understood tool for describing one-dimensional patterns in
time or space. We show how to infer k-th order Markov chains, for arbitrary k, from finite data
by app...
Enterprise Modeling for the Development Process of Open-source ERPs
ERP open-source free software
2018/3/15
The open source and free software might be an alternative to the Small and
Medium Enterprises in order to cut down expenses, for example, using open-source ERPs.
However, when adapting ERP to the en...
Modeling and Results of Satellite Ground Support Optimization
LEO spacecraft Ground station support Product mix Allocation
2018/3/9
This paper will present the methods adapted to model low earth orbiting (LEO)
spacecraft support and an actual implementation of this approach. The results of a
comparison of actual human schedulers...
Developing Simulation Components for Supply Chain Modeling
simulation components supply chain modeling
2018/3/7
Modeling supply chains is a pre-requisite for any supply chain improvement initiative. However,
modeling supply chains is generally a complex and time consuming task. One way of working around
this ...
Statistical modeling for experiments with sliding levels
irregular experimental region nested effect re-centering and re-scaling response prediction response surface modeling
2010/4/27
Design of experiment with related factors can be implemented
by using the technique of sliding levels. Taguchi (1987) proposed an analysis
strategy by re-centering and re-scaling the slid factors. H...
Modeling macroeconomic time series via heavy tailed distributions
seasonal adjustment outliers model selection t-distribution economictime series
2010/4/27
It has been shown that some macroeconomic time series, especially
those where outliers could be present, can be well modelled using heavy tailed
distributions for the noise components. Methods for d...