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Discrete Distributions

Discrete Distributions

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.

By ostinmannual
(842 views)

Inferring compositional style in the neo-plastic paintings of Piet Mondrian by machine learning

Inferring compositional style in the neo-plastic paintings of Piet Mondrian by machine learning

David 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)

By bernad
(706 views)

QoS on Best-effort IP Networks

QoS on Best-effort IP Networks

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

By Audrey
(385 views)

Performance analysis for high speed switches

Performance analysis for high speed switches

Performance 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:

By Ava
(715 views)

The Poisson PD

The Poisson PD

The 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?

By erika
(216 views)

Estimating the Cost of Commercial Airlines Catastrophes

Estimating the Cost of Commercial Airlines Catastrophes

Estimating 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.

By Mia_John
(480 views)

Generalized Additive Models

Generalized Additive Models

Generalized 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

By bernad
(473 views)

Chapter 12 Managing Waiting Lines

Chapter 12 Managing Waiting Lines

Chapter 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.

By omer
(1048 views)

Estimating the Cost of Commercial Airlines Catastrophes - A Stochastic Simulation Approach

Estimating the Cost of Commercial Airlines Catastrophes - A Stochastic Simulation Approach

Estimating 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.

By Audrey
(237 views)

Stats for Engineers: Lecture 4

Stats for Engineers: Lecture 4

Stats 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.

By JasminFlorian
(432 views)

Chapter 11: Waiting Line Models

Chapter 11: Waiting Line Models

Chapter 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.

By Pat_Xavi
(2934 views)

Newsvendor Problem

Newsvendor Problem

Newsvendor 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

By benjamin
(337 views)

Search Engine Technology (10)

Search Engine Technology (10)

Search 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

By jana
(157 views)

Assignment 1: M/M/1 Performance Evaluation

Assignment 1: M/M/1 Performance Evaluation

Assignment 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?

By Lucy
(1981 views)

Models of Volatility Smiles I

Models of Volatility Smiles I

Models 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.

By daniel_millan
(362 views)

Explosion Welding

Explosion Welding

Explosion 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

By candid
(1896 views)

EEL 3472 Electromagnetic Fields I Spring 2009

EEL 3472 Electromagnetic Fields I Spring 2009

EEL 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 starbuck
(361 views)

Chapter 5 Discrete Probability Distributions

Chapter 5 Discrete Probability Distributions

.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.

By fala
(251 views)

Basic Concepts of Discrete Probability

Basic Concepts of Discrete Probability

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

By joy
(243 views)

Managing Waiting Lines chapter - 13

Managing Waiting Lines chapter - 13

Managing 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.

By linh
(448 views)

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