RFSim99 is a free linear S-parameter based circuit simulator offering schematic capture‚ simulation‚ 1 port and 2 port S-parameter display and file support‚ tolerance analysis‚ stability circles‚ and much more.It can cost large sums of money to get a workstation seat at some of the high end simulation and analysis software suites. But the underlying mathematics that these programs use is not secret‚ it is in the public domain and there are low cost or shareware packages that will do the same computations
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Two-Way ANOVA Two-way ANOVA is similar to one-way ANOVA in all aspects except that in this case additional independent variable is introduced. Each independent variable includes two or more variants. Take the Demonstration problem 11.3 on page number 437 of KEN BLACK Feed the data as shown below: And the values as: 1 1 3.47 1 2 3.43 1 3 3.44 1 4 3.46 1 5 3.46 1 6 3.44 2 1 3.40 2 2 3.41 2 3 3.41 2 4 3.45 2 5 3.40 2 6 3.43 3 1 3.38 3 2 3.42 3 3 3.43 3 4 3.40 3 5 3.39 3
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Running Heading: COST ALLOCATION AND VARIANCES Cost Allocation and Variances- Chapter 12 & 13 Text Book Questions Stacey S. Swafford University of Phoenix ACC 561 Dr. Janice Mereba April 23‚ 2010 Chapter 12 Excel Application Exercise 12-59: Allocating Costs Using Direct and Step-Down Methods p. 584 Goal: Create an Excel spreadsheet to allocate costs using the direct method and the step-down method. Use the results to answer questions about your findings. Scenario: Antonio
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Supply and Demand Simulation Kandice Porter ECO / 365 10 / 13 / 2014 Ronald Merchant
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Blood Analysis: Computer Simulation Introduction Blood is a combination of plasma (watery liquid) and red and white blood cells as well as platelets. It is a specialized bodily fluid that supplies essential substances and nutrients‚ such as sugar‚ oxygen‚ and hormones to our cells. Blood analysis can determine how functions of the body are working and if they are working properly. The purpose of this lab is to understand how various ailments‚ locations‚ and blood types can affect blood analysis
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Statistics for Management Unit 1 Unit 1 Introduction Structure: 1.1 Introduction to Statistics Learning objectives Importance of Statistics in modern business environment 1.2 Definition of Statistics 1.3 Scope and Applications of Statistics 1.4 Characteristics of Statistics 1.5 Functions of Statistics 1.6 Limitations of Statistics 1.7 Statistical Softwares 1.8 Summary 1.9 Terminal Questions 1.10 Answers to SAQs and TQs Answers to Self Assessment Questions Answers to Terminal
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Essay Word count: 1636 The aim of this essay is to analyze the strategic management of Bwright Airways (previously BBAirways) airline company’s performance‚ introduce possible amendments and reflect on the teamwork process. The first step of the analysis is to introduce the concept of strategic management as well as to evaluate it in terms of our company’s managerial actions. According to Ansoff strategic management requires “entrepreneurial creation of new strategies for the firm‚ design of new
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Assignment 12 February 2014 1. Analysis a Business Issue. Introduction New Look Jacket Inc. (NLJ) specializes in the production of Nylon Jackets and Leather Jackets. The company delivers successful financial records at the end of the 2012 fiscal year with the net income of $ 417‚100‚ which is $170‚850 greater than the net income budgeted for the 2012 fiscal year despite that the company operations goes through some turmoil. A more detail variance shows that the external factor largely
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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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Applying Archetypal Analysis in Marketing Research © Paul Riedesel‚ Action Marketing Research 2008 Archetypal analysis is a mathematical procedure for decomposing a multivariate dataset as a function of a set of underlying archetypes or ideal types. While used for many years in the physical sciences‚ these methods were first introduced to marketing research practitioners by Louviere and Carson at the 1998 Advanced Research Techniques Forum. Little public use has been made in our field since then
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