Open AccessApplication of Multiple Regression in Mathematical Model of Air Quality Calibration
Author(s) -
Xiaohua Que,
Hong Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/3/032024
Subject(s) - calibration , regression analysis , multivariate statistics , regression , computer science , point (geometry) , dew point , statistics , data mining , mathematics , meteorology , geography , geometry
Based on the existing self-built point data, state-controlled point data and wind speed, pressure, precipitation, temperature, humidity and other data, a multivariate regression mathematical model is established in this paper to optimize the self-built point data. The model is optimized via data to find out the factors that have great influence on the data of self-built points and get more accurate regression equation model. After verification, it can be seen that the calibration degree of the model to the self-built point data is high.