# the start of this has the power-law fitting function you can use‚ make sure to evaluate it before calling plfit # PLFIT fits a power-law distributional model to data. # # PLFIT(x) estimates x_min and alpha according to the goodness-of-fit # based method described in Clauset‚ Shalizi‚ Newman (2007). x is a # vector of observations of some quantity to which we wish to fit the # power-law distribution p(x) ~ x^-alpha for x >= xmin. # PLFIT automatically detects whether x is
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FIXED POINTS AS NASH EQUILIBRIA ´ JUAN PABLO TORRES-MARTINEZ Received 27 March 2006; Revised 19 September 2006; Accepted 1 October 2006 The existence of fixed points for single or multivalued mappings is obtained as a corollary of Nash equilibrium existence in finitely many players games. ı Copyright © 2006 Juan Pablo Torres-Mart´nez. This is an open access article distributed under the Creative Commons Attribution License‚ which permits unrestricted use‚ distribution‚ and reproduction in any medium
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to determine your final grade. Their respective weights are as follows: 1. Class Participation* 10% 2. Simulation** Company Performance 20% Shareholder’s Meeting and Annual Report 10% 3. Comp-XM® Balanced Scorecard 10% Board Queries 5% 4. Comp-XM® Executive Summary 5% ------------------------------------------------- 5. Two Examinations (20 percent each) 40% TOTAL 100% * Grade is determined both
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engineering to determine the no-load impedance in the excitation branch of a transformer. In this experiment‚ open-circuit test is conducted on single-phase and three-phase transformer to determine the iron core resistance‚ Rc and magnetized reactance‚ Xm. The purpose of short-circuit test is to determine the series branch parameters of the equivalent circuit of a Real transformer. The series branch parameters is the summation of primary and referred secondary resistances and reactance if refer to primary
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------------------------------------------------- Radio broadcasting | This article includes a list of references‚ but its sources remain unclear because it has insufficient inline citations. Please help to improve this article by introducing more precise citations. (November 2008) | | The examples and perspective in this article deal primarily with the United States and do not represent a worldwide viewof the subject. Please improve this article and discuss the issue on the talk page. (December
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Sequences and Convergence Let x1 ‚ x2 ‚ ...‚ xn ‚ ... denote an infinite sequence of elements of a metric space (S‚ d). We use {xn }∞ n=1 (or simply {xn }) to denote such a sequence. Definition 1 Consider x0 ∈ S. We say that the sequence {xn } converges to x0 when n tends to infinity iff: For all > 0‚ there exists N ∈ N such that for all n > N ‚ d(xn ‚ x0 ) < We denote this convergence by lim xn = x0 or simply xn −→ x0 . n→∞ Example 2 Consider the sequence {xn } in R‚ defined by xn = n1 . Then xn
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industry hoping to make a profit as well. As of July 29‚ 2008 two companies merged creating a monopoly in satellite radio. SIRIUS‚ which delivers more than 130 channels of 100% commercial free entertainment from news‚ sports‚ talk‚ traffic‚ and XM‚ the number one satellite radio company‚ combined to consume over 18 million subscribers and have cornered the market. Jointly‚ they have partnerships with the automobile market with General Motors‚ Honda‚ Nissan‚ Ford‚ and covering several hundred
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Capture Value‚ or Not? 3. Value-Based Pricing Atlantic Computer: A Bundle of Pricing Options (HBP Brief case) Alternative: Curled Metal Inc.-Engineered Products Division 4. Pricing Structure Virgin Mobile USA: Pricing for the Very First Time Alternative: XM Satellite Radio (A) American Airlines‚ Inc.: Revenue Management Dolan & Gourville Bell & Nashem Steenburgh & Avery 506021 190008 511028 2005 1989 2010 10p 8p 8p ---Author Product Number Publication Year Pages Teaching Note Gourville Gourville & Wu
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Solution: (a) Use the steps of hypothesis testing. Size of sample‚ n = 8 Degree of freedom = n-1 = 8-1 = 7 Sum of sample = i=1∑n=8xi = (25+27+25+23+24+25+26+25) = 200 | Time (in Hours) | Sum | Mean(xm) | (xi- xm)2 | Standard Deviation | 1 | 25 | 200 | Mean = Sum/n= 200/8= 25 | 0 | σ = √( i=1∑n=8(xi-xm)2/(n-1))= √(10/7)= √1.4285= 1.195 | 2 | 27 | | | 4 | | 3 | 25 | | | 0 | | 4 | 23 | | | 4 | | 5 | 24 | | | 1 | | 6 | 25 | | | 0 | | 7 | 26 | | | 1 | | 8 | 25 | | |
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xS + 2xM + s1 0.5xC + 2xS + xM + s2 xC + 2xS + 4xM + s3 xC ‚ xS ‚ xM ‚ s1 ‚ s2 ‚ s3 = = = ≥ 50 24 60 0. (aluminum) (wiring) (weaving) Here xC ‚ xS ‚ and xM denote respectively the number of wire cloths‚ insect screens‚ and meshes manufactured‚ and s1 ‚ s2 ‚ and s3 are the slack variables for the aluminum‚ wiring‚ and weaving constraints respectively. Running the simplex method on this LP yields the following final tableau. z xC + 9xS − 3xS + s1 + 6xS − xS + xM + 11s2 + 0.5s3 − 2s2 + 4s2
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