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STAT333 (91)

Class Notes for STAT333 at University of Waterloo (page 4)

Applied Probability

Exam Study Guides for STAT333

Covers all exam topics.

STAT 333 Lecture 1: STAT 333 Fall 2016 Lecture 1
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STAT 333 Markov chauhi Marker ant Aarndom clear with random nes Cun...

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STAT333
Steve Drekic
STAT 333 Lecture 3: STAT 333 Fall 2016 Lecture 3
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23 f rd f K d Y Continu D continuou 2.4 Joint D in burn the same ea...

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STAT333
Steve Drekic
STAT333 Lecture Notes - Lecture 4: Ator
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STAT 333 L4 We S Co an ce is "unurrelated converse trne expecturion...

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STAT333
Steve Drekic
STAT333 Lecture Notes - Lecture 5: Tibet, Telephone Numbers In The United Kingdom
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Stat 333 LS. 2016 Let X、Y be rus M (t..ti)s E (etxth, 's caued tu l...

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STAT333
Steve Drekic
STAT 333 Lecture 1: STAT333-LEC1

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STAT333
Yi Shen
STAT 333 Lecture 33: STAT 333 Lecture 33 Spring 2016
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Lecture 33 Last lecture : What R= ? can we do from (1) to obtain It...

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STAT333
Pengfei L I
STAT 333 Lecture 32: STAT 333 Lecture 32 Spring 2016
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Lecture 32 Last lecture . Define matrix I = ( ) generator Kj ;s = ...

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STAT333
Pengfei L I
STAT 333 Lecture 31: STAT 333 Lecture 31 Spring 2016
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Lecture 31 Last lecture . Discuss Our interests . Th continuous Mar...

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STAT333
Pengfei L I
STAT333 Lecture Notes - Lecture 30: Discrete Space, Markov Chain, Poisson Point Process
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lecture 30 7 : continuous Markov Chapter process . In this chapter ...

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STAT333
Pengfei L I
STAT 333 Lecture 29: STAT 333 Lecture 29 Spring 2016
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lecture 29 Last lecture : Poisson : { xth , to } process Condition ...

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STAT333
Pengfei L I
STAT 333 Lecture 28: STAT 333 Lecture 28 Spring 2016
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Lecture 28 Last Lecture . Exponential distribution 6 properties : ...

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STAT333
Pengfei L I
STAT 333 Lecture 27: STAT 333 Lecture 27 Spring 2016
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Lecture 27 Chb : Poisson Process 361 Exponential distribution Expon...

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STAT333
Pengfei L I
STAT333 Lecture 26: STAT 333 Lecture 26 Spring 2016
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Lecture 26 Continued from last example : Q3 : Ci : = C s s s ) 1 cl...

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STAT333
Pengfei L I
STAT333 Lecture Notes - Lecture 25: Random Walk, Hefei, Doubly Stochastic Matrix
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Lecture 25 Last lecture Random walk with a reflecting boundary at 0...

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STAT333
Pengfei L I
STAT333 Lecture Notes - Lecture 20: Markov Chain, Restriction Point, Random Walk
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Lecture 20 Last lecture Defmiton of Markov process (2) one-step tra...

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STAT333
Pengfei L I

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