Selected article for: "data point and time series"

Author: Chowell, Gerardo
Title: Fitting dynamic models to epidemic outbreaks with quantified uncertainty: A primer for parameter uncertainty, identifiability, and forecasts
  • Document date: 2017_8_12
  • ID: 3aa8wgr0_36
    Snippet: When each data point should not be given equal weight in the estimation of model parameters, weighted least squares can be useful to assign relative weights to each data point in our dataset. For instance, weights could reflect variable quality (e.g., precision of the measurements) of the time series so that less weight is given to those data points associated with inferior quality or precision. We define the nonnegative weights given to each dat.....
    Document: When each data point should not be given equal weight in the estimation of model parameters, weighted least squares can be useful to assign relative weights to each data point in our dataset. For instance, weights could reflect variable quality (e.g., precision of the measurements) of the time series so that less weight is given to those data points associated with inferior quality or precision. We define the nonnegative weights given to each data point as w ti so that the objective function for weighted least squares fitting is given by

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