DISCRETE TIME MARKOV CHAIN MODEL FOR SIS AND SIR EPIDEMIC MODELS
In disease epidemic model, a set of populations is commonly divided into three groups: Susceptible (S), Infected (I), and Recovery (R). In this thesis, SIS and SIR epidemic models are constructed by using discrete time Markov chains in terms of a probability function for number of infected popula...
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| 主要作者: | |
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| 格式: | Theses |
| 語言: | Indonesia |
| 在線閱讀: | https://digilib.itb.ac.id/gdl/view/39175 |
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| 機構: | Institut Teknologi Bandung |
| 語言: | Indonesia |