An analysis of the difference between the multiple linear regression approach and the multimodel ensemble mean[J] . Zongjian Ke,Wenjie Dong,Peiqun Zhang,Jin Wang,Tianbao Zhao.Advances in Atmospheric Sciences . 2009 (6)柯宗建,董文杰,张培群,王瑾,赵天保.  An Analysis of the Difference between...
This article highlights the effective possibilities to use the multiple linear regression model in the analysis of gross domestic product. To emphasize the practical aspects related to the use of multiple linear regression in the macroeconomic analyzes, we have developed a practical study in which we...
Chapter 4 The Linear Regression Model October 16, 2014 1 Linear regression model The multiple linear regression model is used to study the relationship between a dependent variable and one or more independent variables. The generic form of the linear regression model is y = f (x1 , x2 , ....
Multiple linear regressionis a more specific calculation than simple linear regression. For straight-forward relationships, simple linear regression may easily capture the relationship between the two variables. For more complex relationships requiring more consideration, multiple linear regression is of...
The application of statistical methods in air quality prediction mainly includes the autoregressive (AR) model, the autoregressive integrated moving average (ARIMA) model, the gray model, and the multiple linear regression (MLR) model4,5proposed an algorithm to assess the pollution level of air qual...
The results of multiple linear regression 翻译结果2复制译文编辑译文朗读译文返回顶部 multivariate linear regression in the results; 翻译结果3复制译文编辑译文朗读译文返回顶部 Results of the multivariate linear regression 翻译结果4复制译文编辑译文朗读译文返回顶部 ...
The scores were then normalized asZscores. The effects of theZscores on height were evaluated using the multivariate linear regression model incorporating height as a dependent variable and theZscores, gender and age as the independent variables, using R statistical software. Differences in height be...
a–cContribution and relative importance of the identified genes for grain length (a), grain width (b) and grain shape (c) of brown rice in the rice mini-core collection with 541 accessions. The phenotype variance explanation (R2), which was determined by the multiple linear regression of ...
From the results of multiple linear regression 翻译结果2复制译文编辑译文朗读译文返回顶部 正在翻译,请等待... 翻译结果3复制译文编辑译文朗读译文返回顶部 Results of the multivariate linear regression 翻译结果4复制译文编辑译文朗读译文返回顶部 From multiple linear regression in the results ...
Multiple linear regression analysis for the retention data of neutral metal complexes of nickel, copper and palladium was carried out. Several columns (Microbondapack C18, Partisil-10-ODS, Alltech RP-8) and two ternary (water-methanol-acetonitrile-and water-methanol-tetrahydrofuran) and a quaternary...