Chapter 6: Stochastic Process — Statistics II (STA215) Notes

Definition and classification, Markov Process: Markov chain, Matrix approach, SteadyState distribution, Counting process: Binomial process, Poisson process, Simulation of stochastic process.

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Ch. 6: Stochastic Process16 Pages
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Statistics II Chapter 6 Notes (Stochastic Process) — Page 1
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Ch. 5: Design of experiment

Topics & Key Objectives in Chapter 6

Definition and classificationMarkov Process: Markov chainMatrix approachSteadyState distributionCounting process: Binomial processPoisson processSimulation of stochastic process.

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