UNIVERSITY OF CALIFORNIA Los Angeles A Player Based Approach to Baseball Simulation A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Statistics by Adam Philip Sugano 2008 © Copyright by Adam Philip Sugano 2008 The dissertation of Adam Philip Sugano is approved. _______________________________________ Jan de Leeuw _______________________________________ Rick Paik Schoenberg _______________________________________
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according to the randomization application (random.org). I used the bootstrapping simulation because I want to use this data that I get to represent the whole population (all undergraduate psychology courses offered at IU) and find the confidence interval. Then‚ I run the simulations 100‚000 times as the data have been stabilized at this point. In this case‚ one run of the run simulation means. Each run of this simulation means picking 30 values with replacement from the original sample‚ calculating
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Computer Simulation * A software program that runs on any computer that attempts to simulate some phenomenon based on a scientist’s conceptual and mathematical understanding of the given phenomenon. * The scientist’s conceptual understanding is reduced to an algorithmic or mathematical logic‚ which is then programmed in one of many programming languages (Fortran‚ C‚ C++‚ etc.) and compiled to produce a binary code that runs on a computer. * Have become a useful part of modeling
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Change Management Simulation - Executive Report Change & Crisis Management Executive Summary The following executive report is a result of what our change plan achieved throughout the simulation. Our results of this simulation were positive. Although we did not reach the adoption process‚ we had a number of people in the aware‚ interested‚ and appraisal/trial stage ending in a total of 63.5 points.The tactics that we utilized were effective‚ although with 17.5 weeks left we were not
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------------------------------------------------- SIMULATION REPORT The objective of the project was to trade on a Market Simulation “STOCK TRACK”‚ from 2/13 to 4/20. We were supposed to try to trade different types of instruments in order to gain more knowledge about they are trade in the real world; and how a strategy which seems good can be overturned by the market circumstances. During this period as a conservative‚ I tried to trade less risky instruments. The qualities that I used to
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EP313 Chemical Process Simulation and Design L1 - Introduction 10/1/2014 Process modeling: Concept 1 Identification: our objective is to find structure‚ R of the process. We must know the input‚ I and output‚ O parameters. I R? O 10/1/2014 Process modeling: Concept 2 Simulation: our objective is to get the value of O. We know the structure of the model‚ R and we can simulate what the output‚ O for the given input‚ I. I R O? 10/1/2014 Process modeling
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Running head: Simulation Assignment Simulation Assignment Michelle Lannon University of Phoenix HCS442 Abstract The simulation exercise consisted of a scenario in which the student was to be a manager at an up and coming facility. There were 3 sets of tasks to be accomplished‚ and the results of the student ’s choices given immediately to the student. Each choice affected the outcome in some way‚ whether positive or negative. Simulation Paper Upon completion of this exercise‚ I discovered
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Developments in Business Simulation and Experiential Learning‚ Volume 26‚ 1999 STUDENT EXPERIENCES IN THE INTERNATIONAL COLLEGIATE BUSINESS POLICY GAME COMPETITION William D. Biggs‚ Beaver College Michelle Duffy‚ U.S. Navy David Leposa‚ Chrysler Credit Corporation Andrew Milne‚ Vital Solutions International‚ Inc. Eleanor Schwartz‚ Bell Atlantic ABSTRACT This condensed paper provides comments from four students who represented Beaver College in the 1998 International Collegiate Business Policy Game
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Micromoters Simulation The first thing I noticed with this simulation was how complex it was compared to the first simulation with Universal. But also I noticed right away that being fired was also easy to do‚ and did occur as I was trying to figure out exactly how to run the simulation. Once I had a descent understanding of the simulation I was noticing it was uneasy to make all of the customers very satisfied and really easy to make them very dissatisfied. When I would start running the simulation
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SIMULATION OPTIMIZATION: APPLICATIONS IN RISK MANAGEMENT[1] MARCO BETTER AND FRED GLOVER OptTek Systems‚ Inc.‚ 2241 17th Street‚ Boulder‚ Colorado 80302‚ USA {better‚ glover}@opttek.com GARY KOCHENBERGER University of Colorado Denver 1250 14th Street‚ Suite 215 Denver‚ Colorado 80202‚ USA Gary.kochenberger@cudenver.edu HAIBO WANG Texas A&M International University Laredo‚ TX 78041‚ USA hwang@tamiu.edu Simulation Optimization is providing solutions to
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