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8. TSIR

  • 2023
  • OriginalPaper
  • Chapter
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Abstract

There are many strategies for estimating the parameters of dynamic models from time series data. They differ conceptually in the way they handle demographic and environmental stochasticity (sometimes referred to jointly as “process error”), observation error, and partial (missing) observation. The strategies also often vary by whether the underlying dynamics is thought to be best approximated in continuous time (differential models) or discrete time (difference models).
This chapter uses the following R packages: imputeTS and plotrix.

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Title
TSIR
Author
Ottar Bjørnstad
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-12056-5_8
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