Selected article for: "limited sample size and sample size"
Author: Yi Li; Meng Liang; Xianhong Yin; Xiaoyu Liu; Meng Hao; Zixin Hu; Yi Wang; Li Jin
Title: COVID-19 Epidemic Outside China: 34 Founders and Exponential Growth
  • Document date: 2020_3_3
    • ID: 7reqkx3h_35
    Snippet: A simple and straightforward linear model inherits with some advantages: (1) it works on small sample size due to limited observation or somewhat unperfect data. (2) it is relatively robust in complex situations. The virus spreading pattern is complex and yet varies across the world. A simple model simplified the situation and provides coarse-grained trend estimation. (3) A linear model has nice extrapolation ability comparing to complex models (.....
    Document: A simple and straightforward linear model inherits with some advantages: (1) it works on small sample size due to limited observation or somewhat unperfect data. (2) it is relatively robust in complex situations. The virus spreading pattern is complex and yet varies across the world. A simple model simplified the situation and provides coarse-grained trend estimation. (3) A linear model has nice extrapolation ability comparing to complex models (e.g. Neural network).

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