| 1. | The regression estimator in cluster random sampling
整群抽样回归估计量 |
| 2. | Fuzzy svms for regression estimation are developed in chapter 2
针对回归估计问题提出了模糊svm 。 |
| 3. | Firstly , the algorithm of svm in regression approximation is introduced
首先，介绍了支持向量回归估计的学习算法。 |
| 4. | Missing value estimation for microarray expression data based on weighted regression
基因表达缺失值的加权回归估计算法 |
| 5. | A regressive prediction model containing recursive kernel regression estimation
一种包含递归的核回归估计的回归预测模型 |
| 6. | Asymptotic normality of fixed design regression under strictly stationary na sampels
样本下固定设计回归估计的渐进正态性 |
| 7. | Asymptotic property of estimated with locally linear regression from missing data at random
缺失数据下局部线性回归估计的渐近性质 |
| 8. | Least square svm regression method based on sliding time window and its simulation
基于滚动时间窗的最小二乘支持向量机回归估计方法及仿真 |
| 9. | ( 3 ) the performance of support vector machine ( svm ) for regression estimation was studied
( 3 )支持向量机( svm )的参数对其回归估计性能有很大影响。 |
| 10. | We describe statistical method to create scorecards and show how the result of the model is applied to calculate score point weights
进而透过这些因素， ?用胜算比观? ，决定回归估计系?的权重，依此建? ?性信用卡持有人之信用风险较完整评估标准。 |
