Download presentation

Presentation is loading. Please wait.

Published byIvy Smitherman Modified over 2 years ago

1
Markov Chain

2
2 Stochastic Processes A stochastic process is a collection of random variables The index t is often interpreted as time. is called the state of the process at time t. The set T is called the index set of the process. If T is countable, the stochastic process is said to be a discrete-time process. If T is an interval of the real line, the stochastic process is said to be a continuous-time process. The state space E is the set of all possible values that the random variables can assume.

3
3 Stochastic Processes Examples: 1. Winnings of a gambler at successive games of blackjack; T = {1, 2,.., 10}, E = set of integers. 2. Temperatures in Laurel, MD. on September 17, 2008; T = [12 a.m. Wed., 12 a.m. Thurs.), E = set of real numbers.

4
4 Markov Chains A stochastic process is called a Markov chain provided that for all states and all.

5
Markov Chains

6
Keadaan dari suatu kesuburan tanah dapat asumsi kedalam kondisi baik, sedang dan buruk

7
Transition Probabilities

8
Classification of The States

9
Steady State Probability

Similar presentations

OK

Random Variables A random variable is a rule that assigns exactly one value to each point in a sample space for an experiment. A random variable can be.

Random Variables A random variable is a rule that assigns exactly one value to each point in a sample space for an experiment. A random variable can be.

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Download free ppt on child labour Ppt on job satisfaction of employees Ppt on condition based maintenance conference Ppt on happy diwali Ppt on acid-base titrations Ppt on second law of thermodynamics evolution Download free ppt on srinivasa ramanujan Elements of one act play ppt on apple Ppt on e-banking project Ppt on environmental issues