Monitoring multivariate process variability with individual observations via penalised likelihood estimation

Author： Yeh Arthur B.  

Publisher： Taylor & Francis Ltd

ISSN： 0020-7543

Source： International Journal of Production Research, Vol.50, Iss.22, 2012-11, pp. : 6624-6638

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

Multivariate EWMA control charts using individual observations for process mean and variance monitoring and diagnosis

By Zhang Guoxi  

International Journal of Production Research, Vol. 46, Iss. 24, 2008-12 ,pp. : 6855-6881

Taylor & Francis Ltd

Access to resources Recommend Favorite

Multivariate process monitoring and fault identification using multiple decision tree classifiers

By He Shuguang  

International Journal of Production Research, Vol. 51, Iss. 11, 2013-06 ,pp. : 3355-3371

Taylor & Francis Ltd

Access to resources Recommend Favorite

Online parameter estimation and run-to-run process adjustment using categorical observations

By Lin Jing   Wang Kaibo  

International Journal of Production Research, Vol. 49, Iss. 13, 2011-07 ,pp. : 4103-4117

Taylor & Francis Ltd

Access to resources Recommend Favorite

On the empirical size of Nielsen's multivariate likelihood ratio test of fractional integration

By Sephton P. S.  

Applied Economics, Vol. 42, Iss. 13, 2010-05 ,pp. : 1671-1679

Routledge Ltd

Access to resources Recommend Favorite

Postmodernism and the individual as a process

By Davis John B.  

Review of Social Economy, Vol. 65, Iss. 2, 2007-06 ,pp. : 203-208

Routledge Ltd

Access to resources Recommend Favorite