tl-1-best_model
收藏kaggle2024-04-11 更新2024-04-26 收录
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https://www.kaggle.com/datasets/khushaldamor/tl-1-best-model
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2024-04-06
相关数据集
tl-2-best-model
kaggle2024-04-11 更新00
Summary statistics of the best regression models (mod_best) of the spatial TL for each state.
n is the number of finite log(mean)-log(variance) pairs (here, the number of censuses) in each fitting. Each mean-variance pair is generated using at least 15 county population counts within a state.
NIAID Data Ecosystem40
Summary statistics of the best regression models (mod_best) of the spatial TL for each state.
n is the number of finite log(mean)-log(variance) pairs (here, the number of censuses) in each fitting. Each mean-variance pair is generated using at least 15 county population counts within a state.
Figshare2021-01-07 更新30
Summary statistics of the best regression models (mod_best) of the temporal TL for each state.
n is the number of finite log(mean)-log(variance) pairs (here, the number of counties) in each fitting. Each mean-variance pair is generated using at least 15 historical population counts of a county.
Figshare2021-01-07 更新30
Summary statistics of the best regression models (mod_best) of the temporal TL for each state.
n is the number of finite log(mean)-log(variance) pairs (here, the number of counties) in each fitting. Each mean-variance pair is generated using at least 15 historical population counts of a county.
NIAID Data Ecosystem20
