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Unformatted text preview: Outline Some Common Discrete Distributions (Continued) Models for Continuous RVs – The Exponential RV Lecture 11 Chapter 3: Random Variables and Their Distributions Michael Akritas Michael Akritas Lecture 11 Chapter 3: Random Variables and Their Distribution Outline Some Common Discrete Distributions (Continued) Models for Continuous RVs – The Exponential RV Some Common Discrete Distributions (Continued) The Poisson Random Variable Poisson Approximation to Binomial Probabilities The Poisson process Models for Continuous RVs – The Exponential RV Definition: The pdf and cdf The mean, variance and percentiles Noaging property Michael Akritas Lecture 11 Chapter 3: Random Variables and Their Distribution Outline Some Common Discrete Distributions (Continued) Models for Continuous RVs – The Exponential RV The Poisson Random Variable Poisson Approximation to Binomial Probabilities The Poisson process Michael Akritas Lecture 11 Chapter 3: Random Variables and Their Distribution Outline Some Common Discrete Distributions (Continued) Models for Continuous RVs – The Exponential RV The Poisson Random Variable Poisson Approximation to Binomial Probabilities The Poisson process The number, X , of occurrences of some event in a given time interval (or a given area, or space) is a Poisson random variable if Michael Akritas Lecture 11 Chapter 3: Random Variables and Their Distribution Outline Some Common Discrete Distributions (Continued) Models for Continuous RVs – The Exponential RV The Poisson Random Variable Poisson Approximation to Binomial Probabilities The Poisson process The number, X , of occurrences of some event in a given time interval (or a given area, or space) is a Poisson random variable if I The rate with which events occur remains constant in time (area or space). Michael Akritas Lecture 11 Chapter 3: Random Variables and Their Distribution Outline Some Common Discrete Distributions (Continued) Models for Continuous RVs – The Exponential RV The Poisson Random Variable Poisson Approximation to Binomial Probabilities The Poisson process The number, X , of occurrences of some event in a given time interval (or a given area, or space) is a Poisson random variable if I The rate with which events occur remains constant in time (area or space). I The events under study occur independently Michael Akritas Lecture 11 Chapter 3: Random Variables and Their Distribution Outline Some Common Discrete Distributions (Continued) Models for Continuous RVs – The Exponential RV The Poisson Random Variable Poisson Approximation to Binomial Probabilities The Poisson process The number, X , of occurrences of some event in a given time interval (or a given area, or space) is a Poisson random variable if I The rate with which events occur remains constant in time (area or space)....
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This note was uploaded on 03/19/2009 for the course STAT 401 taught by Professor Akritas during the Spring '00 term at Pennsylvania State University, University Park.
 Spring '00
 Akritas

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