ICS 2307 SIMULATION AND MODELLING Course Outline Systems modelling – discrete event simulation Design of simulation experiments simulation Language probability and distribution theory Statistical estimation‚ inference and random number generators Sample event sequences for random number generation Translation of models for simulation application References Simulation modelling and analysis Introduction Computers can be used to imitate (simulate) the operations of various kinds of real
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CEE 201 Construction Game Project December 6‚ 2012 Introduction What a better way to end the year in CEE 201 with a construction project that deals with bidding. Our studies throughout the year have been focused upon engineering economics transitioning into linear programming models in order for engineers to make educated decisions in real life situations. In order to supplement this thought process‚ the construction game was created that deals with placing bids‚ ordering labor‚ and hiring
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13 May 2014 1 Toyota Technological Institute at Chicago bneyshabur@ttic.edu 2 Microsoft Research rina@microsoft.com Abstract. We investigate the problem of factoring a matrix into several sparse matrices and propose an algorithm for this under randomness and sparsity assumptions. This problem can be viewed as a simplification of the deep learning problem where finding a factorization corresponds to finding edges in different layers and also values of hidden units. We prove that under certain assumptions
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understand the basic ideas behind the generation (and testing) of random numbers. These random numbers are then used (Chapter 8) to generate other random variables. This chapter describes the generation of random numbers and their subsequent testing for randomness (uniformity and independence)‚ but first we discuss some basic properties of random numbers. 7.1 Properties of Random Numbers A sequence of random numbers {R1 ‚ R2 ‚ R3 ‚ . . . ‚ Rn ‚ . . .} must have two important properties: (a) uniformity and
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The current issue and full text archive of this journal is available at www.emeraldinsight.com/1741-0401.htm Performance appraisal based on a forced distribution system: its drawbacks and remedies Rachana Chattopadhayay International Management Institute‚ Kolkata‚ India‚ and Anil Kumar Ghosh Theoretical Statistics and Mathematics Unit‚ Indian Statistical Institute‚ Kolkata‚ India Performance appraisal based on a FDS 881 Received 8 August 2011 Revised 29 January 2012 1 May 2012
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In the shooting case of Trayvor Martin‚ George Zimmerman should not go to prison. A significant amount of speculation exists around the shootings circumstances. There lacks an indisputable‚ completely factual account of the shooting and its preceding events. Without the support of concrete evidence murder can not be proven beyond a reasonable doubt. I intend to show the conclusion‚ that George Zimmerman should not go to jail‚ is true because the argument is sound. I think my argument is valid because
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Boiling point of Salt Water Experiment Ex.3: For experiment 2‚ Complete steps (a)-(c) of the checklist. Experiment 2: Does the boiling point of water differ with different concentrations of salt? CheckList (a) Define the objectives of the experiment The purpose of this experiment is to determine the boiling point of water with different levels of concentration of salt. (b) Identify all sources of variation (i) Treatment factors and their levels The treatment factor in this experiment
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A spiralateral is a series of line segments that form a shape that resembles a spiral. You make spiralaterals by picking a spot on a piece of graph paper to be the starting point of the spiralateral. Then take a set of three numbers and using that point go up the first number of squares on the graph paper‚ go right the second number of squares‚ down the third number of squares and left the first number of squares going in that pattern until the line meets the starting point. So if you were using
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In statistics‚ a sample is a subset of a population. Typically‚ the population is very large‚ making a census or a complete enumeration of all the values in the population impractical or impossible. The sample represents a subset of manageable size. Samples are collected and statistics are calculated from the samples so that one can make inferences or extrapolations from the sample to the population. This process of collecting information from a sample is referred to as sampling. A complete sample
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The subject of cost-volume profit analysis under uncertainty has had extensive literature collected in recent years even though the topic has been ignored in most textbooks. In many cases‚ entire chapters are devoted to cost-volume profit analysis but they ignore the possibility that one or more parameters of the problem are completely random and therefore the future values are unknown at the time the decision is made. The reluctance of textbook authors to discuss stochastic CVP models can be attributed
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