Graphical and Numerical Methods for Detecting Influential Observations in Complex Bingham Data

Author： Amaral Getulio Jose amorim   Floréz Olga Patricia reyes   Cysneiros Francisco José A  

Publisher： Taylor & Francis Ltd

ISSN： 0361-0918

Source： Communications in Statistics: Simulation and Computation, Vol.42, Iss.8, 2013-09, pp. : 1801-1814

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

Detecting influential observations in Liu and modified Liu estimators

By Ertas Hasan  

Journal of Applied Statistics, Vol. 40, Iss. 8, 2013-08 ,pp. : 1735-1745

Taylor & Francis Ltd

Access to resources Recommend Favorite

Simulation for the complex Bingham distribution

By Kent John T.   Constable Patrick D.L.   Er Fikret  

Statistics and Computing, Vol. 14, Iss. 1, 2004-01 ,pp. : 53-57

Springer Publishing Company

Access to resources Recommend Favorite

Influential observations in GARCH models

By Zevallos Mauricio   Hotta Luiz K.  

Journal of Statistical Computation and Simulation, Vol. 82, Iss. 11, 2012-11 ,pp. : 1571-1589

Taylor & Francis Ltd

Access to resources Recommend Favorite

Identifying multiple influential observations in linear regression

By Rahmatullah Imon A.  

Journal of Applied Statistics, Vol. 32, Iss. 9, 2005-11 ,pp. : 929-946

Taylor & Francis Ltd

Access to resources Recommend Favorite

Leverages and Influential Observations in a Regression Model with Autocorrelated Errors

By Özkale M. Revan   Söküt Açar Tuğba  

Communications in Statistics: Theory and Methods, Vol. 44, Iss. 11, 2015-06 ,pp. : 2267-2290

Taylor & Francis Ltd

Access to resources Recommend Favorite