Selected article for: "incubation period and likelihood function"

Author: Pei Wang; Junan Lu; Yanyu Jin; Mengfan Zhu; Lingling Wang; Shunjie Chen
Title: Epidemiological characteristics of 1212 COVID-19 patients in Henan, China
  • Document date: 2020_2_23
  • ID: 1mxjklgx_28
    Snippet: Here, p i = n i /n denotes the ratio of patients with incubation period i(i = 0, 1, ..., m) (totally m+1 unique incubation periods), which can be easily computed from the 483 patients (n=483). f (t i ) corresponds to the PDF with incubation period t i , which is a function of the unknown parameters µ and σ 2 . Since τ = 0 in Eq.(2.2), we omit the case τ = 0 (only 29 cases were with τ = 0). By solving the optimization problem (2.5), we obtain.....
    Document: Here, p i = n i /n denotes the ratio of patients with incubation period i(i = 0, 1, ..., m) (totally m+1 unique incubation periods), which can be easily computed from the 483 patients (n=483). f (t i ) corresponds to the PDF with incubation period t i , which is a function of the unknown parameters µ and σ 2 . Since τ = 0 in Eq.(2.2), we omit the case τ = 0 (only 29 cases were with τ = 0). By solving the optimization problem (2.5), we obtainμ o = 2.0723, σ 2 o = 0.5929. For the MLE, the estimation of µ and σ 2 can be obtained from minimizing the following negative logarithmic likelihood function.

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