Selected article for: "cc NC ND International license and time series"
Author: Pavan Kumar; Ram Kumar Singh; Chintan Nanda; Himangshu Kalita; Shashikanta Patairiya; Yagya Datt Sharma; Meenu Rani; Akshaya Srikanth Bhagavathula
Title: Forecasting COVID-19 impact in India using pandemic waves Nonlinear Growth Models
  • Document date: 2020_4_2
    • ID: b9p5tqhl_16
    Snippet: Here our time series data is based on the spread of the victims of the COVID-19 across India; hence, finding the correlation within the variable of recovering, confirmed and death cases will be crucial for the formation of the time series format for further modeling [11] . For another two trends like death and recovery cases is time lagging situation. So, to detect this analysis, we . CC-BY-NC-ND 4.0 International license It is made available und.....
    Document: Here our time series data is based on the spread of the victims of the COVID-19 across India; hence, finding the correlation within the variable of recovering, confirmed and death cases will be crucial for the formation of the time series format for further modeling [11] . For another two trends like death and recovery cases is time lagging situation. So, to detect this analysis, we . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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