Genetic algorithms for outlier detection in multiple regression with different information criteria

ISSN： 0094-9655

Source： Journal of Statistical Computation and Simulation, Vol.81, Iss.1, 2011-01, pp. : 29-47

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

Outlier Detection Using Nonconvex Penalized Regression

By She Yiyuan Owen Art B.

Journal of the American Statistical Association, Vol. 106, Iss. 494, 2011-06 ,pp. : 626-639

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

Outlier Detection in a Circular Regression Model Using COVRATIO Statistic

By Ibrahim S.

Communications in Statistics: Simulation and Computation, Vol. 42, Iss. 10, 2013-11 ,pp. : 2272-2280

Taylor & Francis Ltd

Access to resources Recommend Favorite

Rank-based outlier detection

By Huang Huaming Mehrotra Kishan Mohan Chilukuri K.

Journal of Statistical Computation and Simulation, Vol. 83, Iss. 3, 2013-03 ,pp. : 518-531

Taylor & Francis Ltd

Access to resources Recommend Favorite

Genetic algorithms in parameter estimation for nonlinear regression models: an experimental approach

By Kapanoglu Muzaffer

Journal of Statistical Computation and Simulation, Vol. 77, Iss. 10, 2007-01 ,pp. : 851-867

Taylor & Francis Ltd

Access to resources Recommend Favorite