In a Markov chain, the probability that the process will be ina particular state at any time period depends O on the state n only tao nmedatuly peeedrg tene petts O none of the atove aternatives n conet Arwwet onty on the stateen the mnedalely preceding tume perd O on the staters in al the precedng tme penods Which of the following statements is true? Simulation models are often used for decision making under certainty. O Uniform probability distributions cau eliher be diverete or conlinuous O one effective way to reduce the effect of initial conditions is increasing the sample size O Random numbers assigned to a probability distribution must be successive One way to increase the probability of identitying the optimal decision when using a simulation is to: O include more random variables in the simulation O increase the number of iterations of the simulation use a discrete instead of continuous random variable change the assignment of the random numbers.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter3: Matrices
Section3.7: Applications
Problem 18EQ
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In a Markov chain, the probability that the process will be ina particular state
at any time period depends
O on the state n only tao nmedatuly peeetrg teme petts
O none of the atove atermatives n cot Arwwot
onty on the stateen the mmedalely preceding tume perod
O on the staters in al the precedng tme penods
Which of the following statements is true?
Simulation models are often used for decision making under certainty.
O Unlform probability distributions can eltber be diserete or conlinuous
O one effective way to reduce the effect of initial conditions is increasing the sample size
O Random numbers assigned to a probability distribution must be successive
One way to increase the probability of identitying the optimal decision when
using a simulation is to:
O include more random variables in the simulation
O increase the number of iterations of the simulation
use a discrete instead of continuous random variable
change the assignment of the random numbers.
Transcribed Image Text:In a Markov chain, the probability that the process will be ina particular state at any time period depends O on the state n only tao nmedatuly peeetrg teme petts O none of the atove atermatives n cot Arwwot onty on the stateen the mmedalely preceding tume perod O on the staters in al the precedng tme penods Which of the following statements is true? Simulation models are often used for decision making under certainty. O Unlform probability distributions can eltber be diserete or conlinuous O one effective way to reduce the effect of initial conditions is increasing the sample size O Random numbers assigned to a probability distribution must be successive One way to increase the probability of identitying the optimal decision when using a simulation is to: O include more random variables in the simulation O increase the number of iterations of the simulation use a discrete instead of continuous random variable change the assignment of the random numbers.
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