关于多重线性回归和多元线性回归的区别,我觉得在对于multiple linear regression的解释上,有的书翻译为多重,有的翻译为多元。抛开翻译,我们要理解的其实是multiple linear regression 和multivariate regression 的区别,前者是多个自变量一个因变量,后者是多个自变量多个因变量。 发布于 2022-02-17 10:51 赞同1 ...
Multivariate Multiple RegressionRegres, Multiple Linear
ENTROPY MINIMAX MULTIVARIATE STATISTICAL MODELING—II: APPLICATIONS logistic regression, Cox proportional hazards regression, recursive partitioning, linear discriminant analysis, mechanistic modeling, and expert (heuristic) programmi... CHRISTENSEN,RONALD - 《International Journal of General Systems》 被引量: ...
Linear regression (also called simple regression) is one of the most common techniques of regression analysis; in linear regression, there are only two variables: the independent variable and the dependent variable. Whereas linear regression only has one independent variable, multiple regression ...
3, 多元正态性(Multivariate normality) 多因素共同影响分布结果 4, 错误的独立性(independence of errors) 每一个变量产生的错误将会独立的影响预测结果,不会对其他变量产生影响 5, 多重共线性的缺乏(lack of multicollinearity) 变量之间存在高度相关关系而使得回归估算不准确,如接下来要提到的虚拟变量陷阱(dummy va...
Tiryaki B (2008) Predicting intact rock strength for mechanical excavation using multivariate statistics, artificial neural networks, and regression trees. Eng Geol 99(1–2):51–60. https://doi.org/10.1016/j.enggeo.2008.02.003 Article Google Scholar Tokhmchi B, Memarian H, Rezaee MR (2010...
This paper shows that the formula of Weibull distribution model and experimental regression analysis can be used for estimating latent bugs of office automation software accurately. The accuracy of the estimation, the actual utilization of the estimated results, and the approach to future improvement ar...
In this paper, the problem of estimation of the regression coefficients in a multiple regression model with multivariate Student- t error is considered un... Y Hu,J Xu - 《Metrika》 被引量: 20发表: 2011年 加载更多来源期刊 Austral.math.soc.gaz 2000/01/01 研究点推荐 linear regression 站...
3, 多元正态性(Multivariate normality) 多因素共同影响分布结果 4, 错误的独立性(independence of errors) 每一个变量产生的错误将会独立的影响预测结果,不会对其他变量产生影响 5, 多重共线性的缺乏(lack of multicollinearity) 变量之间存在高度相关关系而使得回归估算不准确,如接下来要提到的虚拟变量陷阱(dummy va...
The differences in the outcomes between the two groups were analyzed with unpaired t-tests and linear multivariate regression models. The models included age, sex, baseline refractive values or AL, and treatment as covariates. Age, refractive values, and AL were treated as continuous variables, ...