Selected article for: "data point and different model"

Author: Wayne M. Getz; Richard Salter; Oliver Muellerklein; Hyun S. Yoon; Krti Tallam
Title: Modeling Epidemics: A Primer and Numerus Software Implementation
  • Document date: 2017_9_22
  • ID: 6riyqn4k_88
    Snippet: On the other hand, MLE methods that assume model outcomes are Poisson, but with a different Poisson mean y i (θ) for each data point Y i , i = 1, ..., t, involves maximizing the loglikelihood function.....
    Document: On the other hand, MLE methods that assume model outcomes are Poisson, but with a different Poisson mean y i (θ) for each data point Y i , i = 1, ..., t, involves maximizing the loglikelihood function

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