Forecasting Rain Using Logistic Regression.
Presenter(s)
Alsomali Ibrahim Y Alsomali
Files
Description
Prediction and forecasting using logistic regression have exploded during recent years. Logistic regression modeling now used in almost all kind of knowledge. Rainfall is an important event in the climate system. Whether it rains or not has a big impact on several life areas such as nature, agriculture and animal life. Thus, we need to be able to predict rainfall. In this paper, we show how to use logistic regression for predicting rainfall. Ten years of daily rainfall data used to build the model. Two extra years of observed daily rainfall data used as a validation of the model. Our finding shows that logistic regression model can predict the rainfall very efficiently.
Publication Date
4-18-2018
Project Designation
Independent Research
Primary Advisor
Maher B. Qumsiyeh
Primary Advisor's Department
Mathematics
Keywords
Stander Symposium project
Recommended Citation
"Forecasting Rain Using Logistic Regression." (2018). Stander Symposium Projects. 1271.
https://ecommons.udayton.edu/stander_posters/1271
