Bootstrapping U -statistics: applications in least squares and robust regression

Author： Jiang Wenyu  

Publisher： Springer Publishing Company

ISSN： 0976-8386

Source： Sankhya B, Vol.74, Iss.1, 2012-05, pp. : 56-76

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A Novel Regression Approach: Least Squares Ratio

By Akbilgic Oguz  

Communications in Statistics: Theory and Methods, Vol. 38, Iss. 9, 2009-01 ,pp. : 1539-1545

Taylor & Francis Ltd

Access to resources Recommend Favorite

Quantile regression via iterative least squares computations

By Muggeo Vito M.R.   Sciandra Mariangela   Augugliaro Luigi  

Journal of Statistical Computation and Simulation, Vol. 82, Iss. 11, 2012-11 ,pp. : 1557-1569

Taylor & Francis Ltd

Access to resources Recommend Favorite

The Degrees of Freedom of Partial Least Squares Regression

By Krämer Nicole   Sugiyama Masashi  

Journal of the American Statistical Association, Vol. 106, Iss. 494, 2011-06 ,pp. : 697-705

Taylor & Francis Ltd

Access to resources Recommend Favorite

Local Linear Least Squares Kernel Regression for Linear and Circular Predictors

By Qin Xu   Zhang Jiang-She   Yan Xiao-Dong  

Communications in Statistics: Theory and Methods, Vol. 40, Iss. 21, 2011-11 ,pp. : 3812-3823

Taylor & Francis Ltd

Access to resources Recommend Favorite

An evaluation of bootstrap methods for outlier detection in least squares regression

By Martin Michael   Roberts Steven  

Journal of Applied Statistics, Vol. 33, Iss. 7, 2006-08 ,pp. : 703-720

Taylor & Francis Ltd

Access to resources Recommend Favorite