Now that the data file has been created, it's time to create our regression model. 数据创建完成后,就可以开始创建我们的回归模型了。
Finally, this article discussed the first data-mining model, the regression model ( specifically, the linear regression multi-variable model), and showed how to use it in WEKA. 最后,本文探讨了第一个数据挖掘模型:回归模型(特别是线性回归多变量模型),另外还展示了如何在WEKA中使用它。
This is all the same as we saw in the regression model. 这与我们在回归模型中看到的没有差别。
This tells WEKA that we want to build a regression model. 这会告诉WEKA我们想要构建一个回归模型。
Through adopting forward selection variables, the relative optimal regression model was achieved. 采取向前选择变量法进行优选,得到相对最优的回归预测模型。
Methods Multiple factor logistic regression model were conducted to analyse the field survey data. 方法利用现场调查的资料,进行多因素的logistic回归分析。
Trends in dengue incidence were analysed using the Prais – Winsten generalized linear regression model for time series. 利用Prais–Winsten生成的时间序列线性回归模型对登革热发病率趋势进行了分析。
Secondly, indicators of spatial autocorrelation and the spatial regression model are introduced to explore and examine spatial effects. 其次,本文介绍空间自相关与空间回归模式的分析方法,用以探索与检验空间效应。
Diagnostic and influence analysis for Poisson regression model Poisson回归模型的统计诊断与影响分析
Relative curves of injury parameters and velocities were obtained based on the simulated parameters with the logistic regression model. 得到伤害参数与速度的量化曲线并进行回归分析。
A logistic regression model was used to investigate the connection between different dichotomous variables with mortality. 逻辑回归模型,用于研究不同的二分变量与死亡率之间的连接。
A linear regression model between the temperature changes and the thermal error for the spindle has been built up by partial least-squares regression method. 采用五点法测量了加工中心主轴系统的温度场和热误差数据,利用偏最小二乘回归法建立了两者的多元线性回归模型。
Analysis to once basic linearity regression model by applying the Excel 应用Excel对一元线性回归模型的分析
This paper deals with the problem of simple substitution for the mixed estimator of mixed regression model and presents some formulas for its influence on estimator precision. 探讨了对混合回归模型的混合估计进行简单替代的问题,并给出了由此产生的对估计精度的影响的表达式。
A semiparametric procedure is proposed to estimate the parameter in nonlinear median regression model with randomly right censored data. 本文研究了带有随机右删失数据的非线性模型的中位数回归问题。
The Relationship between Input and Output of Agriculture in China: Analysis Based on Partial Least Squares Regression Model 中国农业投入和产出的关系&基于偏最小二乘回归法的分析
The data deletion model and the mean drift model are equivalent in a general linear regression model. 为了诊断具有异方差的线性回归模型的异常点,建立了具有异方差的均值漂移模型和数据删除模型。
Interpret the results from a proportional hazards regression model. 解释比例风险回归模型的结果。
Application of Bayesian Method to Modelling of Variable Structure Linear Regression Model 贝叶斯方法在变结构线性回归模型建模中的应用
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model. 给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
A cloud amount forecasting method based on local linear estimation of non-parametric regression model 基于非参数回归模型的局部线性估计云量预报方法研究
Empirical study on forecasting financial distress of listed enterprise groups based on factorial analysis and Logistic regression model 基于因子分析和Logistic回归模型的我国集团上市公司财务危机预测实证研究
Research on User Interests Based on Linear Regression Model and Cloud Model 基于线性回归模型与云模型的用户兴趣研究
The model had higher prediction precision compared with traditional regression model. 该模型比传统回归模型有着更高的预测精度。
Application of multivariate linear regression model in development of clinic paths 多元线性回归模型在临床路径研制中的应用
Test of Fisher Effect in China based on Quantile Regression Model 基于分位数回归模型的我国费雪效应检验
The multiple regression model is the most widely used vehicle for empirical analysis. 多元回归模型是实证分析中最广泛使用的工具。
Regularized polynomial regression model and apply in subgrade deformation analysis 正则化的多项式回归模型及其在路基变形分析中的应用
A Study on Effects of Censoring Proportions to Cox Regression Model in Survival Analysis 生存分析中删失数据比例对Cox回归模型影响的研究
We use SAS/ STAT program to estimate nonlinear regression model parameters. 应用SAS/STAT估计非线性回归模型中的参数。