Selected article for: "best fit model and cut off"

Author: Ally Bi-zhu Jiang; Richard Lieu; Siobhan Quenby
Title: Significantly longer Covid-19 incubation times for the elderly, from a case study of 136 patients throughout China
  • Document date: 2020_4_18
  • ID: gxk5t1yp_21
    Snippet: and n k = n k (n 0 , µ, σ), how would one tune n 0 , µ, and σ to maximize the likelihood of the hypothetical distribution agreeing with the data, when Poisson counting uncertainties in the latter are taken into account? Note that the model for n k does not have to cut off at k = m, i.e. (9) is merely there to enforce the equality between expected and actual total number of cases within the full 100 range of incubation times available to the s.....
    Document: and n k = n k (n 0 , µ, σ), how would one tune n 0 , µ, and σ to maximize the likelihood of the hypothetical distribution agreeing with the data, when Poisson counting uncertainties in the latter are taken into account? Note that the model for n k does not have to cut off at k = m, i.e. (9) is merely there to enforce the equality between expected and actual total number of cases within the full 100 range of incubation times available to the study. In this way, one is obliged to respect only those 'in range' parameter values ensuing from the best fit model.

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