Selected article for: "log likelihood and maximum log likelihood"
Author: Zian Zhuang; Peihua Cao; Shi Zhao; Yijun Lou; Weiming Wang; Shu Yang; Lin Yang; Daihai He
Title: Estimation of local novel coronavirus (COVID-19) cases in Wuhan, China from off-site reported cases and population flow data from different sources
  • Document date: 2020_3_2
    • ID: 4f84pc83_21
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint Apart from predict number of COVID-19 cases through overall data, we also tried to forecast number of COVID-19 cases base on separate city/region's data since more details may convey more information. A parameter λ was set as total COVID-19 cases. Based on the data obtained from each city/region, we estimated the λ , which is the most likely to make these results appear.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint Apart from predict number of COVID-19 cases through overall data, we also tried to forecast number of COVID-19 cases base on separate city/region's data since more details may convey more information. A parameter λ was set as total COVID-19 cases. Based on the data obtained from each city/region, we estimated the λ , which is the most likely to make these results appear by calculating maximum of log-likelihood.

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