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Showing 1 - 20 results of 23,140 for search '(( significant potential decrease ) OR ( significant visits decreased ))', query time: 0.53s Refine Results
  1. 1
    Visits to the four types of alcohol outlets in each of the 16 states.

    Visits to the four types of alcohol outlets in each of the 16 states. by Yingjie Hu (1579000)

    Published 2021
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  2. 2
    Change in per capita visits to breweries in each state from March to June in 2020.

    Change in per capita visits to breweries in each state from March to June in 2020. by Yingjie Hu (1579000)

    Published 2021
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  3. 3
    Change in per capita visits to wineries in each state from March to June in 2020.

    Change in per capita visits to wineries in each state from March to June in 2020. by Yingjie Hu (1579000)

    Published 2021
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  4. 4
    Geographic differences for how the per capita visits to liquor stores changed in response to COVID-19.

    Geographic differences for how the per capita visits to liquor stores changed in response to COVID-19. by Yingjie Hu (1579000)

    Published 2021
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  5. 5
    Change in per capita visits to drinking places in each state from March to June in 2020.

    Change in per capita visits to drinking places in each state from March to June in 2020. by Yingjie Hu (1579000)

    Published 2021
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  6. 6
    Visitation behavior to the four types of alcohol outlets in the U.S. during the first months of COVID-19.

    Visitation behavior to the four types of alcohol outlets in the U.S. during the first months of COVID-19. by Yingjie Hu (1579000)

    Published 2021
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  7. 7
    RMSE values of including and not including grocery store visits for alcohol sales prediction based on the RF model.

    RMSE values of including and not including grocery store visits for alcohol sales prediction based on the RF model. by Yingjie Hu (1579000)

    Published 2021
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  8. 8
    Predicted and observed wine sales for individual states.

    Predicted and observed wine sales for individual states. by Yingjie Hu (1579000)

    Published 2021
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  9. 9
    Feature importance of the numeric input variables in the optimized RF models for the estimation of spirits, wine, and beer sales.

    Feature importance of the numeric input variables in the optimized RF models for the estimation of spirits, wine, and beer sales. by Yingjie Hu (1579000)

    Published 2021
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  10. 10
    The architecture of the DNN model for estimating alcohol sales.

    The architecture of the DNN model for estimating alcohol sales. by Yingjie Hu (1579000)

    Published 2021
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  11. 11
    Fig 7 -

    Fig 7 - by Yingjie Hu (1579000)

    Published 2021
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  12. 12
    Four categories of input features for the machine learning models.

    Four categories of input features for the machine learning models. by Yingjie Hu (1579000)

    Published 2021
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  13. 13
    VIF values of the variables in three MLR models.

    VIF values of the variables in three MLR models. by Yingjie Hu (1579000)

    Published 2021
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  14. 14
    Fig 15 -

    Fig 15 - by Yingjie Hu (1579000)

    Published 2021
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  15. 15
    Fig 5 -

    Fig 5 - by Yingjie Hu (1579000)

    Published 2021
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  16. 16
    Fig 2 -

    Fig 2 - by Yingjie Hu (1579000)

    Published 2021
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  17. 17
    Geographic differences for how the per capita sales of spirits changed during the pandemic.

    Geographic differences for how the per capita sales of spirits changed during the pandemic. by Yingjie Hu (1579000)

    Published 2021
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  18. 18
    Wine sales in each of the 13 states.

    Wine sales in each of the 13 states. by Yingjie Hu (1579000)

    Published 2021
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  19. 19
    Performances of the three machine learning models based on ten-fold cross-validation and walk-forward validation: Multiple linear regression (MLR), random forest (RF), and a deep neural network (DNN).

    Performances of the three machine learning models based on ten-fold cross-validation and walk-forward validation: Multiple linear regression (MLR), random forest (RF), and a deep n... by Yingjie Hu (1579000)

    Published 2021
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  20. 20
    Predicted and observed beer sales for individual states.

    Predicted and observed beer sales for individual states. by Yingjie Hu (1579000)

    Published 2021
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