Class Meeting 08

Class Meeting 08 - CHEN 3010 Applied Data Analysis Class Meeting#8 Today's Topics Poisson Process Poisson Exponential distributions Traffic

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1 CHEN 3010 Applied Data Analysis Class Meeting #8 September 16, 2004 Today's Topics Poisson Process Poisson & Exponential distributions Traffic measurements workshop Reading for Tuesday: pages 100-102, 117-121 Homework #4 posted, due next Thursday Join class e-mail list by sending [email protected] Subscribe chen-3010 <Firstname> <Lastname>
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2 Poisson process often applied to situations where discrete occurrences are counted in a continuous interval Examples: events in a given time interval product "blemishes" per unit area assumptions: there exists an average (or background) rate of occurrences per unit interval: λ there is a subinterval small enough so that the probability of an event in that interval is zero the probability of one event in a subinterval is the same for all subintervals and proportional to the length of the subinterval the number of occurrences in a subinterval is independent of that from other subintervals
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3 Poisson distribution mass function ( ) λ = x e fx x!
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This note was uploaded on 10/11/2011 for the course CHEN 3010 taught by Professor Kompala,dh during the Spring '08 term at Colorado.

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Class Meeting 08 - CHEN 3010 Applied Data Analysis Class Meeting#8 Today's Topics Poisson Process Poisson Exponential distributions Traffic

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