probability measure Exercises Binomial trees and discrete parameter martingales Summary 2.1 The multiperiod binary model 2.2 American options 2.3 Discrete parameter martingales and Markov processes 2.4 Some important martingale theorems 2.5 The Binomial Representation Theorem 2.6 Overture to continuous models Exercises Brownian motion Summary 3.1 Definition of the process 3.2 L´ vy’s construction of Brownian motion e 3.3 The reflection principle and scaling 3.4 Martingales in continuous time Exercises
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Time Frame | Objectives | Topics/ Content | Concept/s | Competencies | Teaching Strategy | Values | List of Activities | Materials | Evaluation | References | First Quarter | -Define functions and give examples that depict functions-Differentiate a function and a relation-Express functional relationship in terms of symbols y=f(x)-Evaluate a function using the value of x. | Chapter 1Functions and GraphsFunctions and Function Notations | The equation y=f(x) is commonly used to denote functional relationship
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Arithmetic and the study of arithmetic have been around for many centuries. Used by people to trade with each other‚ understand each others’ problems‚ build houses etc. Arithmetic is a huge part of everyday life for everyone on the planet. So why do we have arithmetical ideas and concepts? I think this is pretty simple. Arithmetic exists because we need it to live and interact with each other. A good way for us to understand each other is through arithmetic. Although it sounds like arithmetic was
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Available online at www.sciencedirect.com European Journal of Operational Research 186 (2008) 1059–1067 www.elsevier.com/locate/ejor Decision Support An efficient and simple model for multiple criteria supplier selection problem Wan Lung Ng * Department of Management Sciences‚ City University of Hong Kong‚ 83 Tat Chee Avenue‚ Kowloon Tong‚ Hong Kong Received 16 December 2005; accepted 8 January 2007 Available online 20 February 2007 Abstract Simply looking for vendors offering the lowest prices
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on? use examples of safety equipment from automobiles. how would the graphs of force versus time change for a more elastic string and for a less elastic string? what would be different? what would be the same? How is the impulsemomentum theorem just a restatement of Newton’s Second Law? ( /10) Results : Include the two data tables and a brief explanation of how each column was calculated. Include a graph of one trial and label (and explain why) you took the values that were used
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Statistical Methods 2011Fal Quiz #1--Key Date: 10/25/2011 A. MULTIPLE CHOICE QUESTIONS (50%) 1. Temperature is an example of a variable that uses a. the ratio scale b. the interval scale c. the ordinal scale d. either the ratio or the ordinal scale 2. The nominal scale of measurement has the properties of the a. ordinal scale b. only interval scale c. ratio scale d. None of these alternatives is correct. 3. Statistical studies in which researchers control variables of
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Probability using Playing (Deck of) Cards * Handbook T & L Intro to Fundamental Principals of Counting * T & L s 1‚ 2‚ 3‚ 4 & 5 Data Handling Cycle Problem Solving Questions Student’s CD Data Handling Cycle T & L The Theorem of Pythagoras * T & L To show a straight angle contains 180 degrees
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NORTH SOUTH UNIVERSITY Spring 2013 EXPERIMENT Maximum Power Transfer Theorem Course: EEE 141 Section: 1 Faculty: MAA Instructor: RKK Date of performance: 23rd March 2013 Date of submission: 25th March 2013 Group – 6 |# |Name |ID | |1 |Md. Al Kaiser |1230032043
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FIN 5309 - Estimation Methods - Part II Maximum Likelihood Estimation Guillaume Weisang Clark University gweisang “at” clarku “dot” edu Fall 2011 1 Introduction In this handout‚ I cover some results of point estimation that are essential for an understanding and an enlightened usage of financial econometrics in our FIN 5309 course. Approachable accounts of point estimation theory are available in many textbooks on statistical inference such as (Casella and Berger‚ 2002) and (Mittelhammer
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There are several models of reasoning on which we base our mathematical knowledge. One of these models was developed by Euclid and is known as the formal system. His system has three key elements. These elements are axioms‚ deductive reasoning‚ and theorems. The axioms are the systems “starting points or basic assumptions” (Lagemaat). These axioms are considered to be the self-evident truths that provide the foundations for mathematical knowledge‚ and show that it is based on intuition. The second
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