Selected article for: "change point detection and point detection"
Author: Ibrar ul Hassan Akhtar
Title: Understanding the CoVID-19 pandemic Curve through statistical approach
  • Document date: 2020_4_8
    • ID: 14w3ygss_8
    Snippet: The confirmed and recovered cases data are compiled from the daily situation reports downloaded from WHO organization for the period of 22nd January to 24th March, 2020 23 . These cumulative data is changed to daily data by subtracting of today value from the yesterday. All dataset is used to compute cases infection rate (CIR), cases recovery rate (CIR), Probability density functions (PDF), change point detection (CPD), 2nd to 4th order polynomia.....
    Document: The confirmed and recovered cases data are compiled from the daily situation reports downloaded from WHO organization for the period of 22nd January to 24th March, 2020 23 . These cumulative data is changed to daily data by subtracting of today value from the yesterday. All dataset is used to compute cases infection rate (CIR), cases recovery rate (CIR), Probability density functions (PDF), change point detection (CPD), 2nd to 4th order polynomial curve fitting along with 30 days projection (24th April, 2020) and evaluation of polynomial curve fitting based on percent change difference between actual and projected cases on 1st April, 2020.

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