Figure 2. Relational Model provides an overview of the table content‚ table column/attributes and the relationships that connects them. The identified relationships are as follow: a single customer can make multiple sales (1:M)‚ a single sale contains specific set of sales details (1:1)‚ the same payment could be used for multiple sales (1:M). Furthermore‚ an order details can contain multiple books or product items (1:M)‚ a single author can have multiple books in the store (1:M) just as a single
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European Journal of Operational Research 154 (2004) 345–362 www.elsevier.com/locate/dsw Returns to scale in different DEA models Rajiv D. Banker a‚ William W. Cooper b‚ Lawrence M. Seiford c‚ Robert M. Thrall d‚ Joe Zhu e‚* c School of Management‚ The University of Texas at Dallas‚ Richardson‚ TX 75083-0658‚ USA Graduate School of Business‚ The University of Texas at Austin‚ Austin‚ TX 78712-1174‚ USA Department of Industrial and Operations Engineering‚ University of Michigan‚ Ann Arbor‚ MI
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9-207-056 JANUARY 28‚ 2007 MALCOLM BAKER Multifactor Models There are two parts to this exercise. The first is to evaluate the performance of four mutual funds. And‚ the second is to estimate the cost of capital for two firms. Benchmarking Both parts of the exercise are about choosing an appropriate benchmark‚ either for evaluating past investment returns or assessing a new project. Ideally‚ a benchmark should reflect the opportunity cost‚ or the best alternative investment. If an investment manager’s
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QUT‚ Masters of Counselling | PYN007 Assignment 2 Essay | Models of Supervision | | Helena Bub | 6/13/2013 | | Marker: Glen Guy When experienced practitioners define their approach‚ while some align predominantly with one‚ many identify multiple influences and accompanying techniques. Identifying a sole supervision approach as my only influence‚ resembles asking a chess champion to identify their greatest‚ singular move. Too many contributing factors require consideration‚ including
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REVISED M05_REND6289_10_IM_C05.QXD 5/7/08 4:42 PM Page 52 C H A P T E R Forecasting Models 5 TEACHING SUGGESTIONS Teaching Suggestion 5.1: Wide Use of Forecasting. Forecasting is one of the most important tools a student can master because every firm needs to conduct forecasts. It’s useful to motivate students with the idea that obscure sounding techniques such as exponential smoothing are actually widely used in business‚ and a good manager is expected to understand forecasting. Regression
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GROW Model Questioning Establish your goal First‚ with your coachee‚ you must define and agree the goal or outcome to be achieved. You should help your coachee define a goal that is SMART. Useful questions as this stage include: * How will you know that you have achieved the goal? * How will you know the problem is solved? * What do you want to achieve (overall)? * What can we do in this session to help you towards that goal? * What will you have at the end of this session
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sales force‚ and advertising.” If used effectively‚ this strategy should reduce and control your labor and overhead costs. This would in turn decrease variable expenses and simultaneously increase your contribution margins‚ and ultimately your net profits. To follow this strategy‚ we decided to take the following actions: 1. We refrained from introducing any new products in order to prevent paying large start-up costs without efficient funding. It would have been wise to introduce a new product
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Critically Discuss the Evolution of Motivation Theory Motivation can be defined as the processes that account for an individual’s intensity‚ direction‚ and persistence of effort towards attaining a goal. Intensity is concerned with how hard an individual tries though it should be channelled in the right direction to achieve a certain goal‚ while persistence is the measurement of how long the individual can maintain their efforts. Prior to the formulation of motivation theories in the 1950’s‚
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Full model vs. LASSO models After creating and evaluating the full model‚ a back model and step model were created using backwards selection and stepwise selection‚ respectively. Additionally‚ there were two LASSO models created. Both of these LASSO models were created using a weight of 4 (TPR) to 1 (FPR). Full Model 2 also has these weights‚ so we will use this model to compare to the LASSO models. The first LASSO model created was using “lambda 1SE.” This model was very minimal‚ only using 5
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ADVANCED MATHEMATICS MONASH UNIVERSITY FOUNDATION YEAR 1. INTRODUCTION A student taking this course must also be concurrently enrolled in (or previously studied) MUFY Mathematics Part A as many of the topics in MUFY Advanced Mathematics require an understanding of the concepts in MUFY Mathematics Part A. 2. COURSE OBJECTIVES Advanced Mathematics is designed to prepare students who wish to take tertiary courses with a high mathematical content‚ or which use
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