Which of the following statement is FALSE?The elements of n-step unconditional probability vector Øn add up to 1.The elements of a transition matrix can't be negative.The initial probability distribution vector together with the transition matrixcompletely describe a time-homogeneous Markov chain.For any time-homogeneous Markov chain Xn, X3 andX1 must beindependent of each other.The transition matrix P for a time-homogeneous Markov chain is a stochasticmatrix.

A Markov chain is a stochastic model defining probability of events which depends on the state…

Owing The elements of n-step unconditional probability vector Øn The elements of a transition matrix can't be negative. The initial probability distribution vector together with the tra completely describe a time-homogeneous Markov chain.

Owing The elements of n-step unconditional probability vector Øn The elements of a transition matrix can't be negative. The initial probability distribution vector together with the tra completely describe a time-homogeneous Markov chain.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Which of the following statement is FALSE?
The elements of n-step unconditional probability vector Øn add up to 1.
The elements of a transition matrix can't be negative.
The initial probability distribution vector together with the transition matrix
completely describe a time-homogeneous Markov chain.
For any time-homogeneous Markov chain Xn, X3 andX1 must be
independent of each other.
The transition matrix P for a time-homogeneous Markov chain is a stochastic
matrix.

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