Multivariate statistical simulation
Multivariate statistical simulation
Curves and surfaces for computer aided geometric design (3rd ed.): a practical guide
Curves and surfaces for computer aided geometric design (3rd ed.): a practical guide
The TES methodology: modeling empirical stationary time series
WSC '92 Proceedings of the 24th conference on Winter simulation
Using bivariate Be´zier distributions to model simulation input processes
WSC '94 Proceedings of the 26th conference on Winter simulation
Graphical interactive simulation input modeling with bivariate Bézier distributions
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on graphics, animation, and visualization for simulation environments
Using univariate Be´zier distributions to model simulation input processes
WSC '93 Proceedings of the 25th conference on Winter simulation
Multivariate input modeling with Johnson distributions
WSC '96 Proceedings of the 28th conference on Winter simulation
Autoregressive to anything: Time-series input processes for simulation
Operations Research Letters
Modeling dependencies in stochastic simulation inputs
Proceedings of the 29th conference on Winter simulation
Proceedings of the 29th conference on Winter simulation
Sensitivity of output performance measures to input distributions in queueing simulation modeling
Proceedings of the 29th conference on Winter simulation
Input modeling tools for complex problems
Proceedings of the 30th conference on Winter simulation
Least squares estimation of nonhomogeneous Poisson processes
Proceedings of the 30th conference on Winter simulation
Advanced input modeling for simulation experimentation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Dependence modeling for stochastic simulation
WSC '04 Proceedings of the 36th conference on Winter simulation
Introduction to modeling and generating probabilistic input processes for simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Introduction to modeling and generating probabilistic input processes for simulation
Proceedings of the 38th conference on Winter simulation
Introduction to modeling and generating probabilistic input processes for simulation
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Classification analysis for simulation of machine breakdowns
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Introduction to modeling and generating probabilistic input processes for simulation
Proceedings of the 40th Conference on Winter Simulation
Introduction to modeling and generating probabilistic input processes for simulation
Winter Simulation Conference
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New methods are presented for estimating univariate and bivariate Bezier distributions. A likelihood ratio test is used to estimate the number of control points for a univariate Bezier distribution fitted to sample data. To estimate the control points of a bivariate Bezier distribution with fixed marginals based on either sample data or subjective information about the joint dependency structure, a linear-programming approach is formulated. These methods are implemented in the Windows-based software system called PRIME-PRobabilistic Input Modeling Environment. Several examples illustrate the application of these estimation procedures.