Selected article for: "cumulative distribution function and distribution function"

Author: Cheng, Yi-Hsien; Lin, Yi-Jun; Chen, Szu-Chieh; You, Shu-Han; Chen, Wei-Yu; Hsieh, Nan-Hung; Yang, Ying-Fei; Liao, Chung-Min
Title: Assessing health burden risk and control effect on dengue fever infection in the southern region of Taiwan
  • Document date: 2018_9_6
  • ID: 4h4q9h02_15
    Snippet: Combined with season-specific temperature and R 0 , the DALYs estimates could be further obtained by the temperature-R 0 -DALYs relationship. We then conducted a MC simulation to capture the probabilistic distribution of DALYs. A total of 10,000 iterations were performed in the MC simulation through Crystal Ball to ensure the stability of probability distributions, and resulted in the cumulative distribution function of DALYs as Ф(DALYs). Hence,.....
    Document: Combined with season-specific temperature and R 0 , the DALYs estimates could be further obtained by the temperature-R 0 -DALYs relationship. We then conducted a MC simulation to capture the probabilistic distribution of DALYs. A total of 10,000 iterations were performed in the MC simulation through Crystal Ball to ensure the stability of probability distributions, and resulted in the cumulative distribution function of DALYs as Ф(DALYs). Hence, the exceedance risk (ER) profiles could be obtained by 1-Ф(DALYs), standing for the probability that an estimated DALY would exceed a specified magnitude.

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