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Markov Processes and Birth-Death Processes

Markov Processes and Birth-Death Processes. J. M. Akinpelu. Exponential Distribution. Definition. A continuous random variable X has an exponential distribution with parameter ? > 0 if its probability density function is given by Its distribution function is given by.

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559 views • 37 slides

Generalizations of Poisson Process

Generalizations of Poisson Process. (1). i.e., P k (h ) is independent of n as well as t. This process can be generalized by considering ? no more a constant but a function of n or t or both. The generalized process is again Markovian in nature. Generalizations of Poisson Process.

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339 views • 20 slides

Lecture 7

Lecture 7. Poisson Processes (a reminder) Some simple facts about Poisson processes The Birth/Death Processes in General Differential-Difference Equations The Pure Birth Process (Generating our own Poisson process from scratch) How are queues related to Markov chains The M/M/1 queue

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383 views • 18 slides

Lecture 7

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183 views • 18 slides

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Pure birth process - PowerPoint PPT Presentation

Markov Processes and Birth-Death Processes

Generalizations of Poisson Process

Lecture 7

Lecture 7