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ORIE 4580/5580 - Simulation Modeling and Analysis
Lecture 6 (Thu 9/25) - 'Acceptance-Rejection then Poisson processes'
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More Videos in this Group:
•
1 (Tue 9/9): Central Limit Theorem and Simulation intro
•
2 (Thu 9/11): Intro to Monte Carlo Simulation in Excel
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3 (Tue 9/16): Generating Uniform random numbers
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4 (Thu 9/18): Deficiencies in LCGs and generating arbitrary random variables
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5 (Tue 9/23): Inversion method and discrete random variables
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6 (Thu 9/25): Acceptance-Rejection then Poisson processes
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7 (Tue 9/30): Nonstationary Poisson process and generating samples
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8 (Thu 10/2): Generating Poisson Process and Normal samples
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9 (Tue 10/7): Correlated Normals and Input Modeling
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10 (Thu 10/9): Parameter Estimation - MoM, MLE
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11 (Thu 10/23): MLE and Goodness of fit test into
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12 (Tue 10/21): Goodness of fit tests, estimating Poisson
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13 (Thu 10/23): Discrete Event Simulation
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14 (Tue 10/28): Statistics in discrete event simulation
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15 (Thu 10/30): ProModel simulation - SSQS
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16 (Tue 11/4): ProModel - adding attributes and processing logic
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17 (Thu 11/6): Statistics and intro to Resources
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18 (Tue 11/11): Resources and Nonstationary Poisson in ProModel
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19 (Thu 11/13): Number of servers, JOIN and GROUP
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20 (Tue 11/18): ProModel: Car assembly and computer repair center
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21 (Thu 11/20): Measuring simulation performance
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22 (Tue 11/25): Initialization bias and Autocorrelation
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23 (Tue 12/2): Comparing performance of two systems
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24 (Thu 12/4): Verification and Validation and Variance Reduction
Professor:
Topaloglu
Lecture Description:
Finished the acceptance-rejection method and proved it works. Intro to time-series distributions vs the static ones done so far. Poisson processes were introduced as being very prominent and having some interesting properties.
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