Selected article for: "data set and Î parameter"

Author: Monique R. Ambrose; Adam J. Kucharski; Pierre Formenty; Jean-Jacques Muyembe-Tamfum; Anne W. Rimoin; James O. Lloyd-Smith
Title: Quantifying transmission of emerging zoonoses: Using mathematical models to maximize the value of surveillance data
  • Document date: 2019_6_19
  • ID: f14u2sz5_54
    Snippet: Likelihood function. Using the model described above, a likelihood function was used to 742 evaluate a parameter set (θ = {R, λ z , σ}) given the data (D = N t,v cases observed on each day t and 743.....
    Document: Likelihood function. Using the model described above, a likelihood function was used to 742 evaluate a parameter set (θ = {R, λ z , σ}) given the data (D = N t,v cases observed on each day t and 743

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