多重线性回归分析也称复线性回归分析（multiplelinearregressionanalysis）,它研究一个因变量和多个自变量之间线性关系的统计学分析方法。自变量（independentvariable）是指独立自由变量的变量，用向量X表示；因变量（dependentvariable)是指非独立的、受其它变量影响的变量，用向量Y表示；由于模型仅涉及一个因变量
2024, Numerical Linear Algebra with Applications Tensor regression 2021, Foundations and Trends in Machine Learning AMP-Net: Denoising-Based Deep Unfolding for Compressive Image Sensing 2021, IEEE Transactions on Image Processing Tensor Computation for Data Analysis ...
Analysis based on multiple linear regression about Tilsit type cheese ripening; 基于多元线性回归对Tilsit型干酪成熟期的研究 2. Simulaneus determination of lead and cadmium by multiple linear regression analysis to ion-selective electrode; 多元线性回归离子选择电极法测定铅和镉 ...
Chaotic Ant Colony Optimization and its Application in Multi-Linear Regression Analysis Problem 混沌蚁群算法在回归分析中的应用 scholar.ilib.cn 8. Studying on Simultaneous Determination of Iron and Manganese by Multi - linear Regression Analysis Method 多元校正线性回归法同时测定铁和锰的研究 www.ilib.cn...
2.Multiple Linear Regression Application on the Inter-network Settlement of Internet;多元线性回归法在互联网网间结算中的应用 3.Methods Multiple linear regression method was employed.方法采用多元线性回归法分析上述指标间的依存关系。 4.Analysis of compound drug preparation by orthogonal transformation-MLR褶积...
Based on the multi-regression analysis of sinter quality data for resent three years, the influence rules of sinter chemical composition and micro-structure on sinter metallurgical properties in BAOGANG were found out. 通过对包钢近三年的烧结矿质量检测数据进行多元回归分析研究,找出了包钢生产条件下,烧结...
you can create separate plots for each level of the analysis (e.g., individual level and group level) and add the regression lines for each level to the plot. Additionally, you can create a plot of the residuals (i.e., the difference between the predicted and observed values) to check...
Descriptive statistics, Chi-Square test and multi-regression analysis were utilized in the analysis. 采用的统计分析方法有描述性统计、卡方检定、及逐步复迴归分析。 www.teps.com.cn 5. A linear multi-regression model as thus made in the end, the authors flied to predict the current and quantity ...
After confirming that the assumptions of linear regression have been met, we can investigate the results. No further action is required; as soon as the data were entered,JASPexecuted the analysis and displayed the results in an output table. The results for the ten models with the highest post...
(s)IPCA:independent Principal Component Analysis (r)CCA: (regularized) Canonical Correlation Analysis (s)PLS: (sparse) Partial Least Squares (regressionorcanonicaldeflations) (s)PLS-DA: (sparse)Partial Least Squares Discriminant Analysis Multilevel decompositionfor repeated measurements ...