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Kishor S. Trivedi Visiting Professor Dept. of Computer Science And Engineering.

Kishor S. Trivedi Visiting Professor Dept. of Computer Science And Engineering.

Probability and Statistics with Reliability, Queuing and Computer Science Applications: Chapter 7 on Discrete Time Markov Chains. Kishor S. Trivedi Visiting Professor Dept. of Computer Science And Engineering. Indian Institute of Technology, Kanpur. Discrete Time Markov Chain.

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484 views • 41 slides
Conditional Probability Mass Function

Conditional Probability Mass Function

Conditional Probability Mass Function. Introduction. P [ A | B ] is the probability of an event A , giving that we know that some other event B has occurred. Unless A and B are independent, B will affect the probability of A . Example :

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723 views • 32 slides
Chapter 2 Multivariate Distributions

Chapter 2 Multivariate Distributions

Chapter 2 Multivariate Distributions. Math 6203 Fall 2009 Instructor: Ayona Chatterjee. Random Vector.

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337 views • 25 slides
03. Random Variable

03. Random Variable

Probability Mass Function Expectation ??? 2009/03/16. 03. Random Variable. 1.7 ~ 2.6. Outline. Review Conditional probability Random variable PMF Conditional PMF. Example 1.

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386 views • 18 slides
Applied Probability Lecture 3

Applied Probability Lecture 3

Applied Probability Lecture 3 . Rajeev Surati. Agenda. Statistics PMFs Conditional PMFs Examples More on Expectations PDFs Introduction Cumalative Density Functions Expectations, variances. Statistics. If the number of citizens in a city goes up should the electric load go up?.

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242 views • 14 slides

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