One of the important hypotheses of classical linear regression model is that the random disturbances have equal variance 经典线性回归模型的一个重要假设就是回归方程的随机扰动项u _ i ，具有相同的方差，也称同方差性。
A dynamic catalyst coking model and multi - variant linear regression model are used to estimate the parameters of catalyst coking model 提出了采用动态结焦模型以及新鲜催化剂结焦速率的线性回归模型来估计结焦模型参数的方法。
Regarding these factors as independent variable and abnormal return ( ar ) on announcement day as dependent variable , we establish a linear regression model 并选取适当的变量代表这些因素，以增发公告日股票的异常收益率为因变量，建立了多元线性回归模型。
An improved fuzzy regression model based on symmetric triangular fuzzy numbers , which is named - weighted fuzzy linear regression model in context , is proposed 摘要建立了一种回归系数为对称三角模糊数的-加权模糊线性回归模型，运用模型进行了电量需求预测。
In this paper , the introduction to regression and correlation is simplied by using standardized variables , therefore its model and meaning become intuitive and comprehensible 摘要用标准化变量方法，对线性回归模型的描述进行了简化，使其统计模型得直观和容易理解。
The passage builds the regression model of linear with one unknown quantity by the regression analysis of mathematical statistics and apply the model to population prediction 摘要本文试用数理统计中回归分析的方法，建立我国人口总数与时间的一元线性回归模型，用于人口预测。
Linear models are especially important statistical models , including linear regression model , variance and analysis , covariance and analysis , and variance and component one etc . 线性模型是很重要的一类统计模型，它包括线性回归模型、方差分析模型、协方差分析模型和方差分量模型等等。
The residual error amendment model is derived from fuzzy linear regression model , it can find the most suitable linear function to make the line difference sum in ideal linear regression minimum 该模型是在模糊线性回归模型的基础上推导出来的，它可以寻找最合适的线性函数使理想线性回归中的线差和达到最小。
The results indicate that the svr model can bring higher learning precision and excellent prediction generalization ability compared with traditional linear regression methods 与常规线性回归模型预测结果相对比，所提出的方法更易于使用，很少受不确定因素的影响，并具有较强的信息整合能力以及更高的预测准确性和可信度。
This paper analyzes limitation of using traditional linear regression model as accident regression model , and demonstrates the applicability of using generalized liner regression model as accident model 本文分析了传统线性回归模型作为事故回归模型的不足,确定了非线性回归中的广义线性回归模型作为事故评价模型的适用性。
