Discrete Distributions What is the binomial distribution? The binomial distribution is a discrete probability distribution. It is a distribution that governs the random variable, X, which is the number of successes that occur in " n" trials.

ByDavid Andrzejewski, Univ. of Wisconsin-Madison (USA) David G. Stork, Ricoh Innovations, Inc. and Stanford Univ. (USA) Xiaojin Zhu, Univ. of Wisconsin-Madison (USA) Ron Spronk, Queen's Univ. (Canada)

ByQoS on Best-effort IP Networks. Les Cottrell – SLAC www.slac.stanford.edu/grp/scs/net/talk/qos-itu-apr01/

ByPerformance analysis for high speed switches Lecture 6 The M/M/1 Queueing System The M/M/1 Queueing System The M/M/1 Queueing System consisits of a single queueing station with a single server. The name M/M/1 reflects standard queueing theory nomenclature whereby:

ByThe Poisson PD. Are you familiar with the rock group Aerosmith? They have a song called Toys in the Attic. If they had a song called Toys on the Roof, then the “Toys on” part rhymes with the name Poisson when you say “Toys on” real fast. Can you say Poisson?

ByEstimating the Cost of Commercial Airlines Catastrophes. A Stochastic Simulation Approach by Romel Salam, FCAS, MAAA March 2003. Simulation Model Better reflects current environment in terms of exposures, frequency, fleet composition, liability and hull costs, passenger loads.

ByGeneralized Additive Models. Keith D. Holler September 19, 2005. GLM’s – The Challenge. What to do with continuous variables? Eg. Age, credit score, amount of insurance Options Categorize – but how? Equal volume, Tree, judgment Appendix H, “A Practioner’s Guide to GLMs” by Duncan et al

ByChapter 12 Managing Waiting Lines. McGraw-Hill/Irwin Service Management: Operations, Strategy, and Information Technology, 6e. Copyright © 2008 by The McGraw-Hill Companies, Inc. All Rights Reserved. Lines and Waiting.

ByEstimating the Cost of Commercial Airlines Catastrophes - A Stochastic Simulation Approach. Romel Salam, FCAS, MAAA June 2003. Why a Stochastic Model?. Airline risks are shared vertically by any number of primary players.

ByStats for Engineers: Lecture 4. Summary from last time. Standard deviation – measure spread of distribution. Variance = (standard deviation) 2. Discrete Random Variables. Binomial distribution – number of successes from independent Bernoulli (YES/NO) trials.

ByChapter 11: Waiting Line Models. Instructor: Dr. Neha Mittal. Queuing theory is the knowledge dealing with waiting lines. Waiting Line Models consist of mathematical formulas and relationships that can be used to determine the operating characteristics for a waiting line.

ByNewsvendor Problem. must decide how many newspapers to buy before you know the day’s demand q = #of newspapers to buy b = contribution per newspaper sold c = loss per unsold newspaper random variable D demand. Previously. Optimization Probability Review pdf, cdf, E, Var

BySearch Engine Technology (10). Prof. Dragomir R. Radev radev@cs.columbia.edu. SET Fall 2013. … 16. (Social) networks Random graph models Properties of random graphs. …. SET Fall 2013. … 17. Small worlds Scale-free networks Power law distributions

ByAssignment 1: M/M/1 Performance Evaluation. Example: The arrival rate to a GAP store is 6 customers per hour and has Poisson distribution. The service time is 5 min per customer and has exponential distribution. On average how many customers are in the waiting line?

ByModels of Volatility Smiles I. Chapter 8: ADVANCED OPTION PRICING MODEL. Put-Call Parity Arguments. Put-call parity p +S 0 e -qT = c +K e –r T holds regardless of the assumptions made about the stock price distribution It follows that p mkt - p bs = c mkt - c bs. Implied Volatilities.

ByExplosion Welding. Keith Powell Michael Fernandez Staton Burrell. Basics. Explosion welding is a solid-state process that produces a high velocity interaction of dissimilar metals by a controlled detonation Oxides found on material surfaces must be removed by effacement or dispersion

ByEEL 3472 Electromagnetic Fields I Spring 2009. Instructor: Michael P. Frank Slide Module 1: Course Introduction. Outline of Lecture. Course Introduction: Some Perspective Importance of Electromagnetic Field Theory Some History of the Subject Outline of Topics

By.40. .30. .20. .10. 0 1 2 3 4. Chapter 5 Discrete Probability Distributions. Random Variables. Discrete Probability Distributions. Expected Value and Variance. Binomial Distribution. Poisson Distribution. Hypergeometric Distribution. Random Variables.

ByBasic Concepts of Discrete Probability. Elements of the Probability Theory (continuation). Bayes’ Theorem.

ByManaging Waiting Lines chapter - 13. Learning Objectives. Describe how queues form. Apply Maister's two “laws of service.” Discuss the psychology of waiting. Describe the essential features of a queuing system.

ByView Poisson PowerPoint (PPT) presentations online in SlideServe. SlideServe has a very huge collection of Poisson PowerPoint presentations. You can view or download Poisson presentations for your school assignment or business presentation. Browse for the presentations on every topic that you want.