Selected article for: "data type and time series"

Author: Emma Southall; Michael J. Tildesley; Louise Dyson
Title: Prospects for detecting early warning signals in discrete event sequence data: application to epidemiological incidence data
  • Document date: 2020_4_2
  • ID: dp4qv77q_64
    Snippet: Thus, if a system is not known or there is difficultly in determining the type of data, 468 incorrect conclusions could be drawn when interpreting the time series trend......
    Document: Thus, if a system is not known or there is difficultly in determining the type of data, 468 incorrect conclusions could be drawn when interpreting the time series trend.

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