Noth EM, Hammond SK, Biging GS, Tager IB (2011) A spatial-temporal regression model to predict daily outdoor residential PAH concentrations in an epidemiologic study in Fresno, CA. Atmos Environ 45:2394–2403 ArticleCASGoogle Scholar Nowak DJ, Crane DE, Stevens JC (2006) Air pollution remova...
The use of a land use regression model to predict NO_2 air pollution in two small areas of AucklandLand-use regression (LUR) modelling is widely used... S Kingham,W Pattinson,AL Pearson,... - 《Air Quality & Climate Change》 被引量: 0发表: 2013年 The use of a land use regression...
摘要: Fine particulate matter (PM2.5) is the major air pollutant in Beijing, posing serious threats to human health. Land use regression (LUR) has been widely used in predicting spatiotemporal variation of...关键词: Article DOI: 10.1007/s11356-014-3893-5 被引量: 20 ...
Land use regression (LUR) model was employed to predict the spatial concentration distribution of NO and PM in the Tianjin region based on the environmental air quality monitoring data. Four multiple linear regression (MLR) equations were established based on the most significant variables for NO in...
THE USE OF NEURAL NETWORKING AND POLYNOMIAL REGRESSION TO PREDICT THE OUTCOME IN THE CRITICALLY ILL Rutledge,Robert,Fakhry,... - 《Critical Care Medicine》 被引量: 6发表: 1993年 A new look at the response surface approach for reliability analysis Closed-form mechanical models to predict the ...
Crop yield losses due to weeds can be described by empirical models. The objective of this study was to compare empirical models to predict interference by... Ajay,VS Rathore 被引量: 31发表: 1995年 Hyperspectral characteristics and growth monitoring of rice (Oryza sativa) under asymmetric warming...
To facilitate risk and exposure assessment, and the design of future monitoring networks and sampling campaigns, we sought to determine the extent to which LUR can be used to predict spatial patterns in air pollution in the absence of dedicated measurements. We evaluate the transferability of one ...
pycaret version checks I have checked that this issue has not already been reported here. I have confirmed this bug exists on the latest version of pycaret. I have confirmed this bug exists on the master branch of pycaret (pip install -U...
(2) Regression (Predict the value): Prediction a continuous-valued attribute associated with a an object. So, before you start, you also need to define which kind of task you have. Next, Detail Introduction to Data.
Least squares regression is used to predict the behavior of dependent variables. The least squares method provides the overall rationale for the placement of the line of best fit among the data points being studied. Traders and analysts can use the least squares method to identify trading opportuni...