A Markov chain on states {1,2,3,4,5,6} has transition matrix0 를 00 1 0 %을 0 을 00 0 음233443111116Find all communication classes and classify each class as either recurrent or transient.

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A First Course in Probability (10th Edition)

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Author:Sheldon Ross

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Chapter1: Combinatorial Analysis

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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Suppose that a Markov chain has the following transition matrix The recurrent states are a A₁ A₂ A3 A4 A5 0 0 0 a₂000 P=a, 0 0 1 0 0 2 a 0 0 0 as 10000
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A study of armed robbers yielded the approximate transition probability matrix shown below. The matrix gives the probability that a robber currents free, on probation, or in jail would, over a period of a year, make a transition to one of the states. То From Free Probation Jail Free 0.7 0.2 0.1 Probation 0.3 0.5 0.2 Jail 0.0 0.1 0.9 Assuming that transitions are recorded at the end of each one-year period: i) For a robber who is now free, what is the expected number of years before going to jail? ii) What proportion of time can a robber expect to spend in jail? [Note: You may consider maximum four transitions as equivalent to that of steady state if you like.]
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A coffee shop has two coffee machines, and only one coffee machine is in operation at any given time. A coffee machine may break down on any given day with probability 0.2 and it is impossible that both coffee machines break down on the same day. There is a repair store close to this coffee shop and it takes 2 days to fix the coffee machine completely. This repair store can only handle one broken coffee machine at a time. Define your own Markov chain and use it to compute the proportion of time in the long run that there is no coffee machine in operation in the coffee shop at the end of the day.
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What is markov matrix? Please explain with an example and don't copy paste plz

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A Markov chain on states {1,2,3,4,5,6} has transition matrix 0 를 0 0 1 0 % 을 0 을 0 0 0 등 2 3 3 4 4 3 1 1 1 1 1 6 6 Find all communication classes and classify each class as either recurrent or transient.