a并用多元回归的分析方法,建立模型并对其进行检验,认清哪些是影响粮食生产的主要因素。由结果可以看出化肥施用量对粮食生产的影响尤为显著,其次是粮食播种面积和成灾面积,因此应增加农业生产的科技投入,提高农田利用率,增强农田的抗灾能力。 正在翻译,请等待...[translate]...
第九周:结构方程式模型——每周一讲多变量分析 式模型(Structural Equation Modeling,简称SEM)是一种建立、估计和检验因果关系模型的多元统计分析技术。它包含了回归分析(multiple regression)、因子分析(factor analysis)、路径分析(path analysis)和多元方差分析(multivariate analysis of variance)等一系列多元统计分析方法...
Multivariate regression analysis is used when the relationship between the dependent variable and the independent variables cannot be described by a linear function. the dependent variable depends on more than one independent variable. there is not enough data t...
Multivariate regression analysis was used to estimate the association between DFCs and clinical variables. The variables selected for the multivariate regression analysis were based on the statistical significance of univariate regression analysis, including sex, DBP, durations, smoking, BMI, FHD, Hb ...
Performing MANOVA Using MATLAB MATLAB® and Statistics and Machine Learning Toolbox™ provide a range of functionality to understand, visualize, and perform multivariate analysis of variance (MANOVA) on your data. You can: Use themanovafunction to perform one-, two-, orn-way MANOVA. ...
Analysis of covariance combines ANOVA and regression. It can be useful for understanding within-group variance that ANOVA tests do not explain. Does ANOVA Rely on Any Assumptions? Yes, ANOVA tests assume that the data is normally distributed and that variance levels in each group are roughly equa...
Amemiya, T., Regression analysis when the variance of the dependent variable is proportional to the square of its expectation, J. Am. Statist. Assoc. 68 (1973), pp. 928– 934.Amemiya, T. "Regression Analysis When the Variance of the Dependent Variable is Proportional to the Square of its...
Regression Analysis: Analysis that models the link between two or more variables is known as regression. Regression analysis is widely used in predictive modeling to show how a dependent variable is related to one or more independent variables. Multivariate Statistical Analysis: In this type of Analy...
Cox regression multivariate analysis was performed to identify independent predictors of recurrence and survival. Because 85% of patients presented with stage I disease (Jamieson and Fuller, 2008), the definition of prognostic factors for recurrence was carried out for stage I tumours. ...
After adjusting for age, sex, household income, alcohol intake, extent of exercise, diabetes mellitus, and dyslipidemia (Model 3), multivariate Cox’s regression analysis showed that subjects in the fourth quartiles of SBP SD or CV were significantly more likely to develop POAG (HRs, 1.261; ...