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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Acquisitions 4 3. Implicit assumptions of the Monte Carlo simulation 4 3.1 Capital expenditure 5 3.2 Investment in intangibles 5 3.3. Working Capital 5 3.4 Consistency between implicit and explicit assumptions 5 4. Description of the working of the simulation 6 5. The results of the simulation in comparison with Diageo ’s stated capital structure policy 6 5.1 Diageo ’s stated capital structure policy 6 5.2 The results of the Monte Carlo simulation 7 5.3 Increase in gearing for Diageo 7 6. Conclusion 8
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2 Change Orders 3 Lessons 3 Appendix A: Simulation Comments 4 Appendix B: Simulation Results 6 Consensus versus Average Forecasting The consensus forecasts worked well for quick insight into estimated demand for each month. In our first year we used the consensus demand because we did not know the dynamics of the group‚ and we were relying on their expertise to guide us toward a more accurate forecast. As we progressed through the simulation we came to the realization that the consensus
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Commerce‚ Budapest/Hungary UNIVERSITÉ DU HAVRE IUT GEA Le Havre/France ARKHÉ Kalypso An Educational Module of Management and Strategy Perfection ENTERPRENEUR’S HANDBOOK Made by Mr. Csaba Sólyom Senior lecturer of the BBS Educational simulation of company management‚ Distributed exclusively by ARKHÉ International. All rights reserved. © Copyright ARKHÉ international 1995. Research Centre in Pedagogy of Management 580‚ Cours de la Libération - 33400 Talence Telephone: 56 37 29 38 - Fax:
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Final Project SCI 207 The age old question of how will we power our homes and lives in general moving forward when all the oil runs out‚ and one day it will. The world needs to move in a direction that will lead to energy independence however businesses and society is slow to move because we cannot see the impacts until it hits home in that all of sacred places‚ our wallets. Changes need to be made but can we afford it or can we afford not to make the move that will ensure our future for
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marketing‚ when “big-ticket” and/or high technology products are involved‚ sales are most often negotiated. The General Medical MRI Negotiation Simulation (GM/MRI) has been developed specifically to provide a context for experiential learning and practical discussion of international business negotiations. JAPANESE NEGOTIATION STYLE INSTRUCTIONS The simulation becomes much more interesting for everyone if a little culture is brought into the game. Please try to incorporate the following three aspects
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[pic] Course Syllabus SCI 241 The Science of Nutrition Course Start Date: 2/14/2011 Course End Date: 4/17/2011 Please print a copy of this syllabus for handy reference. Whenever there is a question about what assignments are due‚ please remember this syllabus is considered the ruling document. Edited in accordance with University of Phoenix© editorial standards and practices. Main: This is the main forum for the class and
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1. INTRODUCTION Simulation history is viewed in different angles including: -simulation uses e.g. analysis‚ training‚ research. - types of simulation models e.g. discrete-event‚ continuous‚ combined discrete - simulation programming languages or environments e.g. Arena‚ SIMSCRIPT‚SLAM and - application domains or communities of interest e.g. communications‚ manufacturing‚ military‚ transportation). The objective of this history is to highlight people‚ places‚ and events that have marked
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international simulation report is a compilation of the findings and outlines that reflect advantages and limitations of international trade as a whole. In reviewing the international trade simulation we can find that there are four distinct points that represent the elements that make up the report. I will be reviewing each point in depth along with providing a compare and contrast of the influences and advantages. I will finally conclude with a discussion that sheds light on the issues surrounding
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Monte Carlo Simulation Using RiskSim 10 10.1 RISKSIM OVERVIEW RiskSim is a Monte Carlo Simulation add-in for Microsoft Excel 2000–2010 (Windows) and Microsoft Excel 2004 (Macintosh). RiskSim provides random number generator functions as inputs for your model‚ automates Monte Carlo simulation‚ and creates charts. Your spreadsheet model may include various uncontrollable uncertainties as input assumptions (e.g.‚ demand for a new product‚ uncertain variable cost of production‚ competitor reaction)
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