New robust estimators for detecting non-random patterns in multivariate control charts: a simulation approach

ISSN： 0094-9655

Source： Journal of Statistical Computation and Simulation, Vol.81, Iss.3, 2011-03, pp. : 289-300

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 New Approach for Detecting Multivariate Outliers

By Gao Shaogen Li Guoying Wang Dongqian

Communications in Statistics: Theory and Methods, Vol. 34, Iss. 8, 2005-01 ,pp. : 1857-1865

Taylor & Francis Ltd

Access to resources Recommend Favorite

A Bayesian method for identifying independent sources of non-random spatial patterns

By Zhang Feng Mallick Bani Weng Zhujun

Statistics and Computing, Vol. 15, Iss. 4, 2005-10 ,pp. : 329-339

Springer Publishing Company

Access to resources Recommend Favorite

A simulation study and evaluation of multivariate forecast based control charts applied to ARMA processes

By John Dyer

Journal of Statistical Computation and Simulation, Vol. 73, Iss. 10, 2003-01 ,pp. : 709-724

Taylor & Francis Ltd

Access to resources Recommend Favorite

Properties of Multivariate Control Charts with Estimated Parameters

By Champ Charles

Sequential Analysis, Vol. 26, Iss. 2, 2007-04 ,pp. : 153-169

Taylor & Francis Ltd

Access to resources Recommend Favorite

The performance of multivariate CUSUM control charts with estimated parameters

By Mahmoud M. A.

Journal of Statistical Computation and Simulation, Vol. 83, Iss. 4, 2013-04 ,pp. : 719-736

Taylor & Francis Ltd

Access to resources Recommend Favorite