segmentation methods for choice-based conjoint data: a simulation study Marjolein Crabbe, Bradley Jones and Martina Vandebroek DEPARTMENT OF DECISION SCIENCES AND INFORMATION MANAGEMENT (KBI) KBI 1109 A Comparison of Two-Stage Segmentation Methods for Choice-Based Conjoint Data: A Simulation Study Marjolein Crabbe Bradley Jones Martina Vandebroek Abstract Due to the increasing interest in market segmentation in modern marketing research, several methods for dealing with consumer heterogeneity
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kij1 Master Thesis Supervisor: PETER LØCHTE JØRGENSEN Author: QIAN Zhang (402847) Pricing of principle protected notes embedded with Asian options in Denmark ---- Using a Monte Carlo Method with stochastic volatility (the Heston Model) Aarhus School of Business and Social Science 2011 2 Acknowledgements My gratitude and appreciation goes to my supervisor Peter Lø chte Jø rgensen, for his kind and insightful discussion and guide through my process of writing. I was always impressed
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Entry/Exit Demand Analysis [ to cite ]: Peter R. Dickson and Alan G. Sawyer (1984) ,"Entry/Exit Demand Analysis", in NA - Advances in Consumer Research Volume 11, eds. Thomas C. Kinnear, Provo, UT : Association for Consumer Research, Pages: 617-622. Advances in Consumer Research Volume 11, 1984 ENTRY/EXIT DEMAND ANALYSIS Peter R. Dickson, The Ohio State University Alan G. Sawyer, The Ohio State University ABSTRACT Past methods of measuring consumer response to the price of a branded good are
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considerations in spinning reserve assessment of isolated and interconnected generating systems Chowdhury, N.; Billinton, R.; Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask. This paper appears in: Generation, Transmission and Distribution, IEE Proceedings C Issue Date: Mar 1990 Volume: 137 Issue:2 On page(s): 159 - 167 ISSN: 0143-7046 INSPEC Accession Number: 3606872 Date of Current Version: 06 å «æ 2002 Abstract The authors present a technique which includes
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more prominent to today’s market players, especially to bankers and market makers. This research aims at introducing today’s FX high-frequency trading structure and discussing how a market maker can effectively reduce downside risk when market faces a huge upward or downward stress. An Exponential Moving Average operator is introduced and implemented using a Matlab software for tick-by-tick data analysis. Simulation framework for market high-frequency data and client trading flow is also introduced and
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techniques essential for analyzing and improving business operations. Spreadsheet modeling of business decision problems, both with and without data uncertainty. Linear and integer programming optimization models. Elementary applied probability modeling and Monte Carlo simulation. COURSE MATERIALS Required Textbook(s): Introduction to Management Science, 11/E (Available in Book Store) Bernard W. Taylor ISBN - 10: 0132751917 ISBN - 13: 9780132751919 Course items in Blackboard LEARNING GOALS
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losses would be fifty thousand dollars; this is having a probability of fifty-fifty for both choices of a favorable and unfavorable market. Of course, not doing anything or not opening a store, Shuzworld would not suffer any losses or make any profits. Shuzworld is considering market research and this can produce positive or negative impacts on the market or not purchase the research at all to have no effect. To purchase the market research it would come with a price of twenty thousand dollars with
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Using Simulation Modeling to Improve Patient Flow at an Outpatient Orthopedic Clinic Thomas R. Rohleder, PhD Division of Health Care Policy and Research Mayo Clinic 200 First Street SW Rochester, Minnesota 55905 tel: 507-538-1532 Email: rohleder@mayo.edu Peter Lewkonia, MD Faculty of Medicine University of Calgary Calgary, Alberta Diane Bischak, PhD Haskayne School of Business University of Calgary Calgary, Alberta Paul Duffy, MD Faculty of Medicine University of Calgary Calgary, Alberta Rosa
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Using Simulation Modeling to Improve Patient Flow at an Outpatient Orthopedic Clinic Thomas R. Rohleder, PhD Division of Health Care Policy and Research Mayo Clinic 200 First Street SW Rochester, Minnesota 55905 tel: 507-538-1532 Email: rohleder@mayo.edu Peter Lewkonia, MD Faculty of Medicine University of Calgary Calgary, Alberta Diane Bischak, PhD Haskayne School of Business University of Calgary Calgary, Alberta Paul Duffy, MD Faculty of Medicine University of Calgary Calgary
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vii LIST OF FIGURES ................................................................................................... viii 1. Introduction 1 1.1. Preventive Maintenance and Replacement Scheduling .................................. 1 1.2. Research Contributions .................................................................................... 2 1.3. Outline .............................................................................................................. 3 2. Literature Review
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