| 1. | The parameter estimates of fuzzy linear regression model
模糊线性回归模型的参数估计 |
| 2. | Bayes interval estimation of linear regression model parameters
线性回归模型参数的贝叶斯区间估计 |
| 3. | Least square estimation of fuzzy linear regression models with fuzzy variables
线性回归模型的最小二乘估计 |
| 4. | A restricted least squares estimation for fuzzy linear regression models
模糊线性回归模型的约束最小二乘估计 |
| 5. | The other proof of gauss - markov theorem in one - dimensional linear regression model
马尔柯夫定理的另一种证法 |
| 6. | The tree approach of linear regression models with categorical independent variables
自变量含有类型变量的线性回归模型的树方法 |
| 7. | The - weighted fuzzy linear regression model and its application to power demand forecasting
加权模糊线性回归模型及其在电力需求预测中的应用 |
| 8. | Descriptive study , one - factor analysis and log - linear regression model were applied in this study
采用描述性分析、单因素分析与对数线性模型进行多因素分析。 |
| 9. | Linear regression model with elliptically symmetric errors and unknown dispersion matrix was discussed
摘要讨论了协方差阵未知的椭球等高线性模型中的稳健性问题。 |
| 10. | 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。 |
