Multiple Linear Regression (MLR) modelling has been successfully used to predict how water chemistry variables influence cationic metals' toxicity to aquatic organisms, but no MLR model exists for vanadium (V). Recent research has indicated that an increase in pH (from 6 to 9), or high ...
Multiple linear regression modelling of hot water extraction of soursop juice 来自 Semantic Scholar 喜欢 0 阅读量: 15 作者:MC Quek,N. Chin,Y. Yusof 摘要: The effect of hot water extraction on juice yield, ascorbic acid, lightness and total soluble solids of soursop juice was modelled using ...
The advent of generalized linear modelling has reduced such inappropriate use. A key issue seldom considered in depth is that of choice of explanatory variables. There are several examples of fairly silly proxy variables in research - for example, using habitat variables to "describe" badger ...
For this purpose, we applied Multiple Linear Regression (MLR) models against a forecasting model based on Artificial Neural Network (ANN) approach. The availability of basic meteorological parameters is of great importance in order to forecast the ozone's concentration levels. Modelling was based on...
Multiple linear regressionPrognosticating crop yield still remains as one of the challenging tasks in agriculture. Even though multiple linear regression methodology has dominated the area of predictive modelling, it is constrained to the assumption that the underlying relationship is assumed to be crisp...
Modelling of groundwater recharge using a multiple linear regression (MLR) recharge model developed from geophysical parameters: a case of groundwater resources management. Environ Earth Sci. DOI 10.1007/s12665-014-3476-2.K.A. Mogaji, H.S. Lim, K. Abdullah, Modeling of groundwater recharge ...
Quantum chemical modelling of soil sorption coefficients: Multiple linear regression models ☆Quantum chemical modelling of soil sorption coefficients: Multiple linear regression models ☆methode statistique, contaminantes, sorption, disponibilidad de nutrientes, sorcion, triazines, pesticides, metodos estadistic...
Regression analysisCluster analysisFeature pre-processing modelFeature pre-processingFPPCompetency analyticsNon-small cell lung cancer (NSCLC) comprised of complex... M Sumalatha,L Parthiban - 《International Journal of Engineering Systems Modelling & Simulation》 被引量: 0发表: 2023年 加载更多来源...
Ouedraogo I, Vanclooster M (2016a). A meta-analysis and statistical modelling of nitrates in groundwater at the African scale. In: Hydrology and Earth System Sciences 20(6):2353–2381 Pal M (2005) Random forest classifier for remote sensing classification. Int J Remote Sens 26(1):217–222...
The outcome of statistical modelling are statistical models and these models help in determining the relationship between variables, predicting future values etc. There are many statistical modelling techniques that can be utilized to generate insights like linear regression,...