On the extension of sliced average variance estimation to multivariate regression

Jae Keun Yoo; Keunbaik Lee; Seongho Wu

首页> 外文期刊>Statistical Methods and Applications >On the extension of sliced average variance estimation to multivariate regression

【24h】

On the extension of sliced average variance estimation to multivariate regression

机译：关于切片平均方差估计到多元回归的扩展

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Many sufficient dimension reduction methods for univariate regression have been extended to multivariate regression. Sliced average variance estimation (SAVE) has the potential to recover more reductive information and recent development enables us to test the dimension and predictor effects with distributions commonly used in the literature. In this paper, we aim to extend the functionality of the SAVE to multivariate regression. Toward the goal, we propose three new methods. Numerical studies and real data analysis demonstrate that the proposed methods perform well.

机译：用于单变量回归的许多足够的降维方法已扩展到多变量回归。切片平均方差估计（SAVE）有可能恢复更多的归约信息，最近的发展使我们能够使用文献中常用的分布来测试维数和预测变量的影响。在本文中，我们旨在将SAVE的功能扩展到多元回归。为了实现这一目标，我们提出了三种新方法。数值研究和实际数据分析表明，所提出的方法性能良好。

著录项

来源
《Statistical Methods and Applications》 |2010年第4期|p.529-540|共12页
作者
Jae Keun Yoo; Keunbaik Lee; Seongho Wu;
展开▼
作者单位

Department of Statistics, Ewha Womans University, 120-750 Seoul, Republic of Korea;

rnBiostatistics Program, School of Public Health, Louisiana State University Health Sciences Center,New Orleans, LA 70112, USA;

rnFederal National Mortgage Association (Fannie Mae), Washington, DC 20016, USA;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
double slicing; k-means clustering; multivariatere gression; pooled estimation; sliced average variance estimation;

机译：双重切片k均值聚类;多元回归汇总估计;切片平均方差估计;

相似文献

外文文献
中文文献
专利

1. Implications of influence function analysis for sliced inverse regression and sliced average variance estimation [J] . Prendergast LA Biometrika . 2007,第3期

机译：影响函数分析对切片逆回归和切片平均方差估计的意义
2. Implications of influence function analysis for sliced inverse regression and sliced average variance estimation [J] . Luke A. Prendergast (luke.prendergast{at}latrobe.edu.au) Biometrika . 2007,第3期

机译：影响函数分析对切片逆回归和切片平均方差估计的意义
3. Sliced average variance estimation for multivariate time series [J] . Matilainen M., Croux C., Nordhausen K., Statistics . 2019,第1a3期

机译：多变量时间序列的切片平均方差估计
4. Non-linear Regression of Preservative Performance Using Multivariate Probit or Weibnll Distribution Models: Extensions of the Classical Hartford and Colley Approach [C] . Annual^Meeting of The American^Wood^Protection^Association. . 2019

机译：使用多元概率或WEIBNLL分布模型的防腐性能的非线性回归：古典哈特福德和科利方法的扩展
5. Extension of the Regression Method for Imputation of Data with Monotone Missing Pattern using Multivariate Adaptive Regression Splines (MARS), with Applications to Systematic- Missing-At-Random (SMAR) Study Designs [D] . Lu, Feng. 2013

机译：利用多元自适应回归样条（MARS）扩展单调缺失模式数据插补的回归方法，并应用于系统随机缺失研究（SMAR）研究设计
6. Model-Averaged Confounder Adjustment for Estimating Multivariate Exposure Effects with Linear Regression [O] . Ander Wilson, Corwin M. Zigler, Chirag J. Patel, -1

机译：模型平均混杂因子调整用于估计线性回归的多元暴露效应
7. Classification Using Sliced Inverse Regression and Sliced Average Variance Estimation [O] . Hakbae Lee 2004

机译：分类使用切片逆回归和切片平均方差估计
8. Extensions to Regression Adjustment Techniques in Multivariate StatisticalProcess Monitoring [R] . Hauck, D. J. 1997

机译：多元统计过程监测中回归调整技术的扩展

On the extension of sliced average variance estimation to multivariate regression

摘要

著录项

相似文献

相关主题

期刊订阅