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EE255/CPS226 Continuous Time Markov Chain (CTMC) PowerPoint PPT Presentation

EE255/CPS226 Continuous Time Markov Chain (CTMC) - Bharat B. Madan, Department of Electrical and Computer Engineering, Duke University ... PN Definitions. A PN is a 5-tuple: (P, T, A, X, M) . PN is a bi-partite ...

Bharat B. Madan, Department of Electrical and Computer Engineering, Duke University ... PN Definitions. A PN is a 5-tuple: (P, T, A, X, M) . PN is a bi-partite ...

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EE255/CPS226 Discrete Random Variables PowerPoint PPT Presentation

EE255/CPS226 Discrete Random Variables - Geometric distribution is the only discrete distribution that exhibits MEMORY-LESS property. ... n trials completed with all failures. ...

Geometric distribution is the only discrete distribution that exhibits MEMORY-LESS property. ... n trials completed with all failures. ...

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EE255/CPS226 Conditional Probability and Expectation PowerPoint PPT Presentation

EE255/CPS226 Conditional Probability and Expectation - Dept. of Electrical & Computer engineering. Duke University ... Bharat B. Madan, Department of Electrical and Computer Engineering, Duke University ...

Dept. of Electrical & Computer engineering. Duke University ... Bharat B. Madan, Department of Electrical and Computer Engineering, Duke University ...

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EE255/CPS226 Stochastic Processes PowerPoint PPT Presentation

EE255/CPS226 Stochastic Processes - EE255/CPS226 Stochastic Processes Dept. of Electrical & Computer engineering Duke University Email: bbm@ee.duke.edu, kst@ee.duke.edu What is a stochastic process?

EE255/CPS226 Stochastic Processes Dept. of Electrical & Computer engineering Duke University Email: bbm@ee.duke.edu, kst@ee.duke.edu What is a stochastic process?

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EE255/CPS226 Continuous Random Variables PowerPoint PPT Presentation

EE255/CPS226 Continuous Random Variables - Continuous Random Variables Dept. of Electrical & Computer engineering Duke University ... Discrete Random Variables Author: Bharat Madan Last modified by: bbm

Continuous Random Variables Dept. of Electrical & Computer engineering Duke University ... Discrete Random Variables Author: Bharat Madan Last modified by: bbm

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EE255/CPS226 Expected Value and Higher Moments PowerPoint PPT Presentation

EE255/CPS226 Expected Value and Higher Moments - Note that the MTTF of a series system is much smaller than the MTTF of an individual component. Failure of any component implies failure of the overall system.

Note that the MTTF of a series system is much smaller than the MTTF of an individual component. Failure of any component implies failure of the overall system.

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EEL102 PowerPoint PPT Presentation

EEL102 - Introduction to SPICE EEL102 Spice Introduction Spice is a short form of : Simulated Program with Integrated Circuit Emphasis Used for circuit analysis Many ...

Introduction to SPICE EEL102 Spice Introduction Spice is a short form of : Simulated Program with Integrated Circuit Emphasis Used for circuit analysis Many ...

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EE255CPS 226 Introduction to Probability Slides PowerPoint PPT Presentation

EE255CPS 226 Introduction to Probability Slides - Algebra of events. Sample space is a set and events are the subsets of ... Series-parallel reliability formulas are applied to both the resulting block diagrams ...

Algebra of events. Sample space is a set and events are the subsets of ... Series-parallel reliability formulas are applied to both the resulting block diagrams ...

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EE255CPS226 Discrete Time Markov Chain DTMC PowerPoint PPT Presentation

EE255CPS226 Discrete Time Markov Chain DTMC - pjk(m,n) P(Xn = k | Xm = j ) ... pjk(m,n): probability transition function of a DTMC. Homogeneous DTMC: pjk(m,n) = pjk(m-n) i.e., transition probabilities exhibit ...

pjk(m,n) P(Xn = k | Xm = j ) ... pjk(m,n): probability transition function of a DTMC. Homogeneous DTMC: pjk(m,n) = pjk(m-n) i.e., transition probabilities exhibit ...

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EE255CPS226 Expected Value and Higher Moments PowerPoint PPT Presentation

EE255CPS226 Expected Value and Higher Moments - E(X) may also be computed using distribution function ... If all Xi's are EXP(?), then, As n increases, MTTF also increases as does the Var. ...

E(X) may also be computed using distribution function ... If all Xi's are EXP(?), then, As n increases, MTTF also increases as does the Var. ...

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