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Simulation Modeling-1
 
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Includes, - types of simulation models (monte carlo simulation, operational gaming, systems simulation) - inventory analysis using simulation - calculation of stockout cost and holding cost
Views: 51843 Bharatendra Rai
Design of Experiments for Simulation Modeling
 
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Simulation models often have many input factors and determining which ones are really important can be quite difficult. In this SimCast, Dr. Averill M. Law, President of Averill M. Law & Associates provides a brief introduction to design of experiments for simulation modeling.
The Critical Importance of Simulation Input Modeling
 
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An important, but often neglected, part of any sound simulation study is that of modeling each source of system randomness by an appropriate probability distribution. In this Simulation Master Class, Dr. Averill M. Law of Averill M. Law & Associates first gives examples of data sets from real-world simulation studies, followed by a discussion of two critical pitfalls in simulation input modeling. The two major methods for modeling a source of randomness when corresponding data are available are delineated, namely, fitting a theoretical probability distribution to the data and the use of an empirical distribution. Finally, there is a discussion of how to model a source of system randomness when no data exists.
Lec-30 Queueing Models
 
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Lecture series on Advanced Operations Research by Prof. G.Srinivasan, Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.ac.in
Views: 401683 nptelhrd
RC circuit matlab simulink
 
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Views: 119806 Ahmed Adel
LORENTZ Software - Child's Law Simulation part 1
 
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http://www.integratedsoft.com/ LORENTZ v7.0 - Child's Law Simulation Model Setup in LORENTZ Software.
Little's Law - The ONE thing you can do to improve process performance
 
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Little's Law is a very simple concept that will help you gain control over your system. Mastering this concept will arm you with ONE thing that will improve your process and it doesn't cost a dime. Learn more by using and applying the Theory of Constraints and Lean Manufacturing Principles in only 6 months, Pinnacle Strategies helped the Company in Charge of Cleaning Up the 2010 Oil Spill in the Gulf of Mexico; Doubling the Supply of Skimmers, Boom and Other Critical Resources, and in Doing So Saved More Than $700 Million. Get your copy here http://amzn.to/1IEd5VP. ‪
Views: 75420 Pinnacle Strategies
System Dynamics and Control: Module 4 - Modeling Mechanical Systems
 
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Introduction to modeling mechanical systems from first principles. In particular, systems with inertia, stiffness, and damping are modeled by applying Newton's 2nd Law. Translational and rotational systems are discussed.
Views: 136262 Rick Hill
LORENTZ Software - Child's Law Simulation part 2
 
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http://www.integratedsoft.com/ LORENTZ v7.0 - Child's Law Simulation Model Analysis in LORENTZ Software.
Basics of Heat Transfer and Thermal Analysis (Session 1, Thermal Simulation Workshop)
 
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Learn more: https://www.simscale.com/thermal-simulation-workshop/ In this session, the three basic heat transfer mechanisms will be explained: Conduction, Convection, and Radiation. We will use 3 simple example simulations to better understand the influencing factors in a heat transfer process. We’ll then use this basic understanding to run a thermal analysis of a CFL to see how thermal simulation works for real-world problems. (6:45) About SimScale (14:40) Understanding three heat transfer phenomena (14:51) Conduction (17:36) Convection (19:58) Radiation (22:02) General thermal simulation types (26:58) Live presentation on the SimScale platform (50:37) Analyzing results Heat transfer is an important characteristic of many products across a variety of different industries. The SimScale Thermal Analysis Workshop is a free course that teaches mechanical designers and engineers how to use thermal simulation in the web browser for optimizing cooling and heating processes for improved energy efficiency and durability. During the workshop you will: - Learn the fundamentals of thermal analysis for modern product design - Expand the knowledge based on practical examples of conduction, convection and radiation simulations - Learn how simulation can help you to make better design decisions faster - Get a chance to apply the learning and knowledge into practice by repeating the simulation yourself Session 1: https://youtu.be/ao3KrVf790w Session 2: https://youtu.be/5zp4FOplmfQ Session 3: https://youtu.be/hKB-mlp6kpk SimScale is a 100% cloud-based simulation platform. Try CFD, FEA or Thermal Analysis by creating a free account: https://www.simscale.com/
Views: 7159 SimScale GmbH
CPM - Critical Path Method||Project Management Technique||Operations Research|| Solved Problem
 
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Here is the Video about Critical Path Method (CPM) in Operations research, I have given the necessary theory explanation with Solved problem, Pls watch the complete video to understand the CPM concept, Hope this video will help you to understand in a simple way. Video for PERT - https://youtu.be/WrAf6zdteXI To watch more tutorials pls visit: www.youtube.com/c/kauserwise * Financial Accounts * Corporate accounts * Cost and Management accounts * Operations Research * Statistics ▓▓▓▓░░░░───CONTRIBUTION ───░░░▓▓▓▓ If you like this video and wish to support this kauserwise channel, please contribute via, * Paytm a/c : 6383617203 * Western Union / MoneyGram [ Name: Kauser, Country: India & Email: [email protected] ] [Every contribution is helpful] Thanks & All the Best!!! ─────────────────────────── What is CPM in operations research How to construct CPM network? What is Project management - cpm? What is forward pass and backward pass in CPM? What is Earliest time and latest completion time? How to find Free floats and total floats?
Views: 1536094 Kauser Wise
Little's Law Worked Problem (Video 10)
 
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Step by step analysis of a small problem.
Markov Chains - Part 1
 
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Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Part 2: http://www.youtube.com/watch?v=jtHBfLtMq4U In this video, I discuss Markov Chains, although I never quite give a definition as the video cuts off! However, I finish off the discussion in another video! This video gives a 'real life' problem as some motivation and intuition, as well as introduces a bit of terminology.
Views: 566618 patrickJMT
Model Porous Media Flow and Chemical Reaction in COMSOL Multiphysics
 
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Learn how to model porous media flow and chemical reaction in COMSOL Multiphysics. A catalytic bed reactor with an injection needle is simulated and improved upon, using the Reacting Flow in Porous Media, Transport of Diluted Species interface included in the Chemical Reaction Engineering Module. Additional Resources: • Model used in the video: Porous Reactor with Injection Needle – http://www.comsol.com/model/porous-reactor-with-injection-needle-25 • Software used in the video: Chemical Reaction Engineering Module – http://www.comsol.com/chemical-reaction-engineering-module • Paper: Reduction Stage During Copper Refinement in a Packed Bed Reactor – http://www.comsol.com/paper/modeling-of-the-reduction-stage-during-the-continuous-refining-of-copper-in-a-pa-13065 • Model: NOx Reduction in a Monolithic Reactor – http://www.comsol.com/model/nox-reduction-in-a-monolithic-reactor-10194
Views: 77943 COMSOL
Is Reality Real? The Simulation Argument
 
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Watch Part 2 on Vsauce 3: https://www.youtube.com/watch?v=3d9i_0Ty7Cg Kurzgesagt Newsletter: http://eepurl.com/cRUQxz Support us on Patreon so we can make more videos (and get cool stuff in return): https://www.patreon.com/Kurzgesagt?ty=h Kurzgesagt merch: http://bit.ly/1P1hQIH The MUSIC of the video: Soundcloud: http://bit.ly/2w8eYsN Bandcamp: http://bit.ly/2xpnhU2 Facebook: http://bit.ly/2qW6bY4 THANKS A LOT TO OUR LOVELY PATRONS FOR SUPPORTING US: vladimir šebez, Nicholas Evers, David Hirsch, Misko Giboreau, Friedrich Reider, Christian Massold, Björn Keßel, Ron Leonard, Johann Goergen, Tonina Zhelyazkova, Tony Nitowski, Geoffrey Major, William Bonwitt, Arslan Ablikim, James Tran, JP Hastings-Spital, Michael Shi, Anni Gill, Cymon Carlisle, bob smith, Jonathan Brunette, George Murray, John, Bryan Lawlor, Bjarne Kohnke, Christopher Isar, Renee Undrits, Joshua Hardin, Diego, Maggs, Akram Jamal-Allail, shoftee, Dattu Patel, Josh Heri, Christopher Dein DeltaNutmeg, Julian Hartline, Jesper Sølvsten, Adam Thompson, Amadon Faul, Ben Spicer, Dan-Dumitru Donici, Kaushik Narasimhan, Dennis Kok, Carlo Fajardo, Zaneksy, Rami Najjar, Rik Muschamp, César Rdez, David Marsden, Klasoweit, Gabrielle Gendron-Lepage, Nicholas, Nathan Dietrich, Manolo Calderon, Gil Nemesh, Caleb, Karthik Sekar, Jean-Francois Blain, Travis Harger, Jose Zamora, Danilo Metzger, Olle Karlberg, TJ, Patrick Hart, SCPNostalgia, Devin, David Oxley, Andy Hill, Maxime Cony, Vjenceslav, Neil Mukhopadhyay, Cory Bosse, Kara M., Dogydogsun, Andy Zeng, Angela Flierman, Tyler Alden, Klaus Prünster, Alex Boyd, Diana Martínez, Danny Fast, Bryce Watson, Chan Maneesilasan, Johanna Lind, Orphansmith, 彥霖 陳, Emanuel Hafner, James Dominguez, Kevin Hackbarth, Pablo Pagano, Liam Quin, Dan Rossiter, James Phan, Leon Klang, Romain Isnel, Anthony Eales, Freebite, Logan Rankin, Udi Eylat Help us caption & translate this video! http://www.youtube.com/timedtext_cs_panel?c=UCsXVk37bltHxD1rDPwtNM8Q&tab=2
Mod-01 Lec-03 Lecture-03-Mathematical Modeling (Contd...1)
 
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Process Control and Instrumentation by Prof.A.K.Jana,prof.D.Sarkar Department of Chemical Engineering,IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 96371 nptelhrd
Mod-01 Lec-27 System modeling and simulation
 
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Principles of Engineering System Design by Dr. T Asokan,Department of Engineering Design,IIT Madras.For more details on NPTEL visit http://nptel.ac.in
Views: 40909 nptelhrd
Queue Modeling in Excel
 
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This lesson introduces the queue model template. It first looks at the M/M/s model. We then explore an example scenario where we need to find the optimal number of servers for a company. In doing so, we develop a one-way data table to analyze cost. We then introduce the M/D/1 model. Using the M/D/1 model we explore a business’s recapitalization decision. In analyzing this decision, we utilize Excel’s built in what-if analysis and construct a two-way data table. https://ericjjesse.wordpress.com/course-introduction/queues/
Views: 19010 Eric Jesse
6. Monte Carlo Simulation
 
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MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag Prof. Guttag discusses the Monte Carlo simulation, Roulette License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 420200 MIT OpenCourseWare
24. Modal Analysis: Orthogonality, Mass Stiffness, Damping Matrix
 
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MIT 2.003SC Engineering Dynamics, Fall 2011 View the complete course: http://ocw.mit.edu/2-003SCF11 Instructor: J. Kim Vandiver License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 119402 MIT OpenCourseWare
5. Stochastic Processes I
 
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MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: http://ocw.mit.edu/18-S096F13 Instructor: Choongbum Lee *NOTE: Lecture 4 was not recorded. This lecture introduces stochastic processes, including random walks and Markov chains. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 262204 MIT OpenCourseWare
Stability Analysis, State Space - 3D visualization
 
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Introduction to Stability and to State Space. Visualization of why real components of all eigenvalues must be negative for a system to be stable. My Patreon page is at https://www.patreon.com/EugeneK
Introduction to Model Based Design Modeling and Simulation with Simulink
 
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Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe ------------------------------------------------------------------------- Explore Simulink, an environment for multidomain simulation and Model-Based Design for dynamic and embedded systems. Through product demonstrations, you will see a high-level overview of the major capabilities and how you can use Simulink to design, simulate, implement, and test a variety of time-varying systems, including communications, controls, signal processing, video processing, and image processing. This webinar is for people who may be unfamiliar with Simulink.
Views: 69566 MATLAB
Particle Tracing: Magnetic Lens Simulation
 
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This video shows you how to set up, solve, and postprocess the model of a magnetic lens with many moving discrete particles. Electron beams are focused via the magnetic field surrounding a coil. Particle trajectories in the magnetic lens are calculated with COMSOL's Particle Tracing Module (http://www.comsol.com/products/particle-tracing/).
Views: 38226 COMSOL
Circuit simulation in LTSpice part 1/3
 
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How to set up simulations in LTSpice, create bode plots of phase and magnitude for a passive RC low pass filter. Part 2 is here: http://www.youtube.com/watch?v=ozdjvGuaCvA My website: http://www.afrotechmods.com
Views: 403848 Afrotechmods
Ch12-02 Queuing Problem Simulation in Excel
 
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This video is part of a lecture series available at https://www.youtube.com/channel/UCMvO2umWRQtlUeoibC8fp8Q
Views: 35071 Decision Making 101
Little's Law Simple Form
 
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Little's Law captures the relation between WIP, Throughput Time (or Lead Time), and Production Rate. Application leads towards lean production, muda elimination, and smooth material flow . Dr S. Gondhalekar with Mrudula Pardeshi and Pranali Pisat facilitate understanding of Little's law in simplified form, and how WIP reduction can be done by lead time reduction or throughput time reduction with a pleasantly visual representation using toy cars.
Views: 24391 Shrinivas Gondhalekar
Probability Part 2: Updating Your Beliefs with Bayes: Crash Course Statistics #14
 
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Today we're going to introduce bayesian statistics and discuss how this new approach to statistics has revolutionized the field from artificial intelligence and clinical trials to how your computer filters spam! We'll also discuss the Law of Large Numbers and how we can use simulations to help us better understand the "rules" of our data, even if we don't know the equations that define those rules. Want to try out the law of large numbers simulation yourself? More details here: https://github.com/cmparlettpelleriti/CC2018/blob/master/LLN.md Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Mark Brouwer, Glenn Elliott, Justin Zingsheim, Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Divonne Holmes à Court, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, Evren Türkmenoğlu, D.A. Noe, Shawn Arnold, mark austin, Ruth Perez, Malcolm Callis, Ken Penttinen, Advait Shinde, Cody Carpenter, Annamaria Herrera, William McGraw, Bader AlGhamdi, Vaso, Melissa Briski, Joey Quek, Andrei Krishkevich, Rachel Bright, Alex S, Mayumi Maeda, Kathy & Tim Philip, Montather, Jirat, Eric Kitchen, Moritz Schmidt, Ian Dundore, Chris Peters, Sandra Aft, Steve Marshall Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashCourse Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 85632 CrashCourse
Module 5-Modelling & Simulation: Thermodynamic and FEM Analysis in SPS
 
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Speaker: Dr. Zhe Zhao (University of Stockholm) Abstract:Spark Plasma Sintering (SPS) has been an attractive sintering technique for preparing nanostructured ceramics and composites for more than 10 years, but there is still no clear image about the sintering mechanisms behind the enhanced densification. Here we will use traditional sintering and creep deformation kinetic method to analysis the densification process in SPS in order to shade light on the potential mechanisms which make SPS different from the other normal pressure-assisted sintering techniques. As another potential technical obstacle to SPS applications for mass-production, the intrinsic temperature and stress profi les are also analyzed by FEM. Both transient and equilibrium state are considered. The knowledge from this lecture can be used as the general guideline for SPS experiments in Labs or industries.
Circuit Simulation through ngspice - 4: Simple Seires Circuit (Ohms Law)
 
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This is a video demonstration of a circuit simulation through ngspice. A simple circuit with single voltage source and three resistors connected in series with certain arbitrary values. This demo describes DC voltage analysis through aforementioned circuit.
ArcMap 10.2: Hydrology analysis using ArcGIS
 
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This videos describes how a digital elevation model can be corrected and how to use some geoprocessing tools to create other hydrology datasets like flow direction, flow accumulation and stream network. Enjoy!
Views: 37022 Usman Buhari
Fourier Transform, Fourier Series, and frequency spectrum
 
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Fourier Series and Fourier Transform with easy to understand 3D animations.
K computer Simulation: Lithium-ion Battery -From a Universe of Molecules to Batteries of the Future-
 
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Have you ever seen the inside of lithium-ion battery? Using Japanese supercomputer K, the 1st supercomputer which exceeds 10peta FLOPS in the world, scientists observed atomic-scale processes at the electrode of lithium-ion batteries, allowing them to identify a material that could improve the charging time, voltage capacity and reliability of these batteries for long-term and renewable energy storage solutions. This video was created for outreach purpose and introduces how lithium-ion battery works and what kind of challenges the scientists are facing as well as the simulations at the molecular level of the inside of the battery. The scientists awarded Gottfried Wagener Prize 2015 Energy & Industry. RIKEN Advanced Institute for Computational Science URL: http://www.aics.riken.jp/en/
Views: 15041 rikenchannel
GLASER BASIC TEACHING MODEL
 
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Glaser basic teaching model for b. Ed students Easy explanation of Glaser's basic teaching model for b. Ed students By RAHUL SHARMA
Multiphase flow modelling basics
 
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Spray Theory and Applications by Prof. Mahesh Panchagnula, Department of Applied Mechanics,IIT Madras.For more details on NPTEL visit http://nptel.ac.in
Views: 4271 nptelhrd
Sugarcane bagasse pneumatic separation with different shapes using Ganser drag law
 
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This simulation, performed by researchers from the University of Campinas, shows the 2-way coupling CFD-DEM (ANSYS Fluent and Rocky DEM) technique as a powerful tool to enhance the sugarcane bagasse pneumatic separation process understanding. Different particle shapes for the bagasse are used and the air flow rate is varied in order to evaluate different operational conditions. The use of Ganser drag law takes into account the particle shape and alignment with the flow and allows the correct prediction of the separation efficiency. Courtesy: Eduardo de Almeida, Ph.D. - University of Campinas Prof. Nicolas Spogis, Ph.D. - University of Campinas
Basic fracture mechanics
 
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In this video I present a basic look at the field of fracture mechanics, introducing the critical stress intensity factor, or fracture toughness.
Views: 97292 Scott Ramsay
Numerical Simulation of Lenz's Law by TailSiT
 
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Numerical simulation illustrating Lenz's law. Magnet dropped down a copper pipe. This is a simulation of a classic experiment that demonstrates the principle of eddy current brakes. Thanks to TailSit's FEM/BEM coupling scheme no re-meshing has to be executed when the magnet falls through the pipe.
Mobile Social Networks Simulation - Power-law mode
 
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Rule-based model with power-law distribution of sizes in community. Autonomous nodes moving while making mobility decision independently based on the identities of their encountered nodes.
Views: 436 sungwookie
Chi-squared Test
 
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Paul Andersen shows you how to calculate the ch-squared value to test your null hypothesis. He explains the importance of the critical value and defines the degrees of freedom. He also leaves you with a problem related to the animal behavior lab. This analysis is required in the AP Biology classroom. Intro Music Atribution Title: I4dsong_loop_main.wav Artist: CosmicD Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/ Creative Commons Atribution License
Views: 1433176 Bozeman Science
Discrete Event Simulation Using ExtendSim: Output Analysis
 
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Problems encountered when analyzing simulation output that are modeled with queuing processes occur frequently. In this SimCast, Dr. Jeffrey S. Strickland, PhD, CMSP, ASEP, President of Simulation Educators explains two of the problems that typically occur: 1. The Initial Transient Period 2. Autocorrelated Observations Simulations take time to warm up to their steady state behavior, unless something is known about it when modeling a system. This warm up period or initial transient period must be accounted for in experimental design. Waiting times are not independent--they are autocorrelated--and these must also be dealt with in experimental design. It is easy to pick these problems apart by running a simple M/M/1 queue model. Learn more by watching this SimCast.
The Hardy-Weinberg Principle:  Watch your Ps and Qs
 
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The Hardy-Weinberg Principle states that allele and genotype frequencies in populations remain stable over time, given certain assumptions. What assumptions? What does the principle mean? And how do you SOLVE those Hardy-Weinberg PROBLEMS? Everything shall be revealed in this video - with some penguins of course. They make everything go down easier. JOIN THE FUN all over the WEB: SUBSCRIBE: http://www.youtube.com/user/ThePenguinProf FACEBOOK: https://www.facebook.com/ThePenguinProf GOOGLE+: https://plus.google.com/+Penguinprof/posts TWITTER: https://twitter.com/penguinprof WEB: http://www.penguinprof.com/ Links to Videos Mentioned: Mendelian Genetics: http://youtu.be/xtJwHytHRfI How to Solve Genetics Problems: http://youtu.be/Qcmdb25Rnyo Solution for the additional problem I showed at the end: Allele Frequencies: q = 0.04 p = 0.96 Genotype Frequencies: homozygous dominant: 0.92 Heterozygous: 0.08 Homozygous recessive: 0.002 Answer to the additional problem step-by-step: http://www.penguinprof.com/uploads/8/4/3/1/8431323/solving_hardy-weinberg_problems.pdf ------------------------------------------------------------------------------------------ Video Details: Population Genetics: The Hardy-Weinberg Principle You need to know: gene vs. allele gentoype vs. phenotype understanding probabilities (and vs. or) Punnett Square Hardy-Weinberg Principle Timeline of Discoveries Darwin, Mendel, DeVries, Correns Hardy, Weinberg, Castle Mendelian Genetics Gets HOT Particles are inherited! Traits aren't blended! Cambridge opens a department of Genetics So What's it All About? It's about frequencies When talking about population genetics, we are interested in the prevalence of a particular allele or genotype in a population The Hardy-Weinberg Principle States: Frequencies of alleles and genotypes in a population will remain constant over time in the absence of other evolutionary influences Assumptions Organisms are diploid Generations are non-overlapping Population must be large No immigration or emigration No mutation in the gene of interest No natural selection occurs (individuals reproduce at equal rates) Mating is random Alleles and Allele Frequency Penguin Prof Helpful Hints The Sum of All Possible Outcomes MUST Equal 1 p+q = 1 ALLELE FREQUENCY 2 Alleles = Genotype p2 + 2pq + p2 = 1 What if There are Three Alleles? (p, q and r) Sample Problem In a population of 1,000 penguins, 12 have blue feet. Find the frequency of the blue allele, the yellow allele and the frequencies of the three possible genotypes in this population. Solving Hardy-Weinberg Problems Assign the alleles Frequency of the dominant allele is 'p' Frequency of the recessive allele is 'q' Calculate q by taking the square root of the number of homozygous recessive individuals Calculate p (the allele frequencies must equal 1, so p = 1 − q) Use p and q to calculate the other genotype frequencies: frequency of homozygous dominant individuals = p2 frequency of heterozygous individuals = 2pq frequency of homozygous recessives = q2 This may help: Hardy-Weinberg Punnett Square Try Another One... In a population of 130,000 magical mice, green fur is dominant over orange. If there are 300 orange mice in a population of 130,000, find the following (assume population is in Hardy-Weinberg equilibrium): 1. Frequency of dominant (green) allele 2. Frequency of recessive (orange) allele 3. Frequency of each genotype
Views: 331126 ThePenguinProf
Lecture 31: Markov Chains | Statistics 110
 
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We introduce Markov chains -- a very beautiful and very useful kind of stochastic process -- and discuss the Markov property, transition matrices, and stationary distributions.
Views: 84251 Harvard University
CPA - QUANTITATIVE ANALYSIS - SIMULATION TECHNIQUES - LESSON 2
 
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CLICK HERE http://www.manifestedpublishers.com TO WATCH FULL VIDEO
Views: 2082 MANIFESTED PUBLISHERS

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