Selected article for: "multidimensional distribution and uncertainty interval"
Author: Houssein H. Ayoub; Hiam Chemaitelly; Shaheen Seedat; Ghina R. Mumtaz; Monia Makhoul; Laith J Abu-Raddad
Title: Age could be driving variable SARS-CoV-2 epidemic trajectories worldwide
  • Document date: 2020_4_17
    • ID: 9huyb4cs_10
    Snippet: Ranges of uncertainty around model-predicted outcomes were determined using five-hundred simulation runs that applied Latin Hypercube sampling [19, 20] from a multidimensional distribution of the model parameters. At each run, input parameter values were selected from ranges specified by assuming ±30% uncertainty around parameters' point estimates. The resulting distribution for each model-predicted outcome was then used to derive the most proba.....
    Document: Ranges of uncertainty around model-predicted outcomes were determined using five-hundred simulation runs that applied Latin Hypercube sampling [19, 20] from a multidimensional distribution of the model parameters. At each run, input parameter values were selected from ranges specified by assuming ±30% uncertainty around parameters' point estimates. The resulting distribution for each model-predicted outcome was then used to derive the most probable estimate and 95% uncertainty interval (UI). Mathematical modelling analyses were performed in MATLAB R2019a [21] , while statistical analyses were performed in STATA/SE 16.1 [22] .

    Search related documents:
    Co phrase search for related documents
    • input parameter value and parameter value: 1, 2, 3
    • Latin Hypercube sampling and model parameter: 1, 2, 3
    • Latin Hypercube sampling and parameter value: 1
    • mathematical modelling analysis and modelling analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9
    • mathematical modelling analysis and statistical analysis: 1
    • model parameter and multidimensional distribution: 1
    • model parameter and parameter value: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
    • model parameter and point estimate: 1
    • model parameter and statistical analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
    • model parameter and uncertainty interval: 1
    • model parameter multidimensional distribution and multidimensional distribution: 1
    • model predict and parameter value: 1
    • model predict and point estimate: 1
    • model predict and statistical analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
    • model predict and uncertainty interval: 1
    • modelling analysis and statistical analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
    • modelling analysis and uncertainty interval: 1
    • parameter point estimate and point estimate: 1
    • parameter value and statistical analysis: 1, 2, 3