2. The day-to-day changes in weather for a certain part of the country form a Markov process. Each day is sunny, cloudy, or rainy. • If it is sunny one day, there is a 70% chance that it will be sunny the following day, a 20% chance it will be cloudy, and a 10% chance of rain. • If it is cloudy one day, there is a 30% chance it will be sunny the following day, a 50% chance it will be cloudy, and a 20% chance of rain. • If it rains one day, there is a 60% chance that it will be sunny the following day, a 20% chance that it will be cloudy and a 20% chance of rain. (a) Create a transition diagram that describes this scenario. (b) Create a stochastic matrix that describes this scenario. Is this scenario ergodic or absorbing? Explain.
2. The day-to-day changes in weather for a certain part of the country form a Markov process. Each day is sunny, cloudy, or rainy. • If it is sunny one day, there is a 70% chance that it will be sunny the following day, a 20% chance it will be cloudy, and a 10% chance of rain. • If it is cloudy one day, there is a 30% chance it will be sunny the following day, a 50% chance it will be cloudy, and a 20% chance of rain. • If it rains one day, there is a 60% chance that it will be sunny the following day, a 20% chance that it will be cloudy and a 20% chance of rain. (a) Create a transition diagram that describes this scenario. (b) Create a stochastic matrix that describes this scenario. Is this scenario ergodic or absorbing? Explain.
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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