Analysis and Research about the Model of the Rational Approximation of Regression Function
回归函数的有理逼近模型分析与研究
A Profit Model for a Flour Milling Enterprise Based on Multiple Linear Regression Analysis
基于多元线性回归分析的小麦粉加工企业生产利润模型
Study on joint application of grey relevancy analysis and multiple linear regression model
灰关联分析与多元线性回归模型联合应用研究
The safety thickness of roof forecasting model is obtained by stepwise regression analysis.
本文最后还分析了顶拱裂隙对安全顶板厚度得影响。
ON THE BEST FITTING OF THE SPHERICAL MODEL VARIOGRAM WITH THE WEIGHTED POLYNOMIAL REGRESSION
用加权多项式回归进行球状模型变差图的最优拟合
Poisson regression is a regression model for analyzing the dependent variable of count data.
泊松回归是专门分析因变量为计数变量得回归模型。
The model used multiple stepwise regression method and back propagation method independently.
模型分别采用多元逐步回归方法和反向传播方法。
The Performance Comparison of Several Estimate for Linear Weighted Regression Model Presented
权回归模型下几种估计性能的比较
We use the One Way ANOVA, Principal component analysis and Multiple Regression as study model.
研究主要采用了方差分析，主成分分析和多元回归模型。
Moreover,the similarity between the algorithm and ridge regression model was well demonstrated.
经过分析，改进后得算法可近似归结为一种岭回归模型。
Application of Rational Function Model to the Date Regression Analysis of the Tunnel Controlling
有理函数在隧道监测数据回归分析中的应用
The building of mathematical regression model of prototype of female large bust and waist figure
女胸特大腰细体合体上下装原型结构数学回归模型的建立
Moreover, the similarity between the algorithm and ridge regression model was well demonstrated.
经过分析，改进后的算法可近似归结为一种岭回归模型。
The Dual Regression Based Interconvertible Model of the Site Indices of Chinese Fir and Masson Pine
基于对偶回归的杉木与马尾松地位指数互导模型
Logistic regression model for the relationship between serum homocysteine and coronary atherosclerosis
同型半胱氨酸与冠状动脉病变关系的分析
Strong Consistent Estimation in Semiparametric Regression Model for the Longitudinal Contaminated Data
纵向污染数据半参数回归模型中的强相合估计
Application of composed model of regression with autoregression in prediction of harbour handling capacity
回归与自回归的叠合模型在港口吞吐量预测中的应用
In this paper, the smallest risk estimators of regression coefficient in the linear model are investigated.
研究了线性模型中回归系数的最小风险估计问题。
The analysis methods were used logistic regression model for the coma duration prognostication model established.
昏迷时间预测模型得建立采用逐步回归分析。
All Admissible Linear Estimators of Regression Coefficient in a Linear Model with Respect to an Inequality Constraint.
不等式约束下线性模型中回归系数的所有可容许估计
Linear regression model is useful to evaluate the adaptation of a quantitative character to the change of environments.
直线迴归模式能有效地估计数量性状对环境的适应能力。
This paper considers the estimation in the linear regression model under the criterion of minimizing the sum of absolute errors.
本文考虑在绝对误差和最小准则下的线性回归模型估计。
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