Performance of Multiple Linear Regression Model for Long-term PM<SUB>10</SUB> Concentration Prediction Based on Gaseous and Meteorological Parameters

Ahmad Zia Ul-Saufie; Ahmad Shukri Yahaya; NorAzam Ramli; Hazrul Abdul Hamid

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Performance of Multiple Linear Regression Model for Long-term PM₁₀ Concentration Prediction Based on Gaseous and Meteorological Parameters

机译：基于气态和气象参数的长期PM _{10 浓度预测的多元线性回归模型的性能}

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The aim of this study was to investigate performance of Multiple Linear Regression (MLR) method in predicting future (next day, next 2 days and next 3 days) PM₁₀ concentration levels in Seberang Perai, Malaysia. The developed model was compared

机译：这项研究的目的是调查多元线性回归（MLR）方法在预测马来西亚Seberang Perai未来（第二天，接下来的2天和接下来的3天）PM _{10 浓度水平中的性能。比较开发的模型}

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《Journal of Applied Sciences》 |2012年第14期|共7页
作者
Ahmad Zia Ul-Saufie; Ahmad Shukri Yahaya; NorAzam Ramli; Hazrul Abdul Hamid;
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1. Performance of Multiple Linear Regression Model for Long-term PM₁₀ Concentration Prediction Based on Gaseous and Meteorological Parameters [J] . Ahmad Zia Ul-Saufie, Ahmad Shukri Yahaya, NorAzam Ramli, Journal of Applied Sciences . 2012,第14期

机译：基于气态和气象参数的长期PM _{10 浓度预测的多元线性回归模型的性能}
2. Multiple linear regression and regression with time series error models in forecasting PM_(10) concentrations in Peninsular Malaysia [J] . Kar Yong Ng, Norhashidah Awang Environmental Monitoring and Assessment . 2018,第2期

机译：预测马来西亚半岛PM_（10）浓度的多元线性回归和时间序列误差模型回归
3. Comparison of regression models of PM10 particulate concentration in relation to selected meteorological elements based on the example of Sosnowiec, Poland [J] . Adamek Adam, Ziernicka-Wojtaszek Agnieszka Idojaras . 2019,第1期

机译：PM10颗粒浓度与选定气象元素的回归模型的比较基于Sosnowiec，波兰的例子
4. Additive Calibration Model for the Monitoring Data of PM2.5 and PM10 Based on ARIMA and Multiple Linear Regression [C] . Yan Xu, Shuangting Lan International Conference on Economic Management and Model Engineering . 2019

机译：基于ARIMA和多元线性回归的PM2.5和PM10监测数据的加性标定模型。
5. A COMPARISON OF SIX MODELS FOR PREDICTING CORPORATE BANKRUPTCY: MULTIPLE LINEAR REGRESSION ANALYSIS, MULTIPLE LINEAR DISCRIMINANT ANALYSIS, STEPWISE REGRESSION ANALYSIS, STEPWISE DISCRIMINANT ANALYSIS, MULTIPLE LINEAR REGRESSION ANALYSIS WITH RIDGE REGRESSION, AND MULTIPLE LINEAR DISCRIMINANT ANALYSIS WITH BIASED MINIMUM CHI-SQUARE RULE [D] . MAPP, JOHNNIE ALBERT. 1981

机译：六种预测公司破产的模型的比较：多个线性回归分析，多个线性判别分析，逐步回归分析，逐步判别分析，多个带岭点回归的线性回归分析，以及多个线性离散
6. EPMLR: sequence-based linear B-cell epitope prediction method using multiple linear regression [O] . Yao Lian, Meng Ge, Xian-Ming Pan 2014

机译：EPMLR：使用多元线性回归的基于序列的线性B细胞表位预测方法
7. Performance of Multiple Linear Regression Model for Long-term PM10 Concentration Prediction Based on Gaseous and Meteorological Parameters [O] . Ahmad Zia Ul-Saufie, Ahmad Shukri Yahaya, NorAzam Ramli, 2012

机译：基于气态和气象参数的长期PM10浓度预测多元线性回归模型的性能

Performance of Multiple Linear Regression Model for Long-term PM10 Concentration Prediction Based on Gaseous and Meteorological Parameters

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Performance of Multiple Linear Regression Model for Long-term PM₁₀ Concentration Prediction Based on Gaseous and Meteorological Parameters