Publicação: A control chart based on sample ranges for monitoring the covariance matrix of the multivariate processes
Carregando...
Data
Autores
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Routledge Journals, Taylor & Francis Ltd
Tipo
Artigo
Direito de acesso
Acesso restrito
Resumo
For the univariate case, the R chart and the S(2) chart are the most common charts used for monitoring the process dispersion. With the usual sample size of 4 and 5, the R chart is slightly inferior to the S(2) chart in terms of efficiency in detecting process shifts. In this article, we show that for the multivariate case, the chart based on the standardized sample ranges, we call the RMAX chart, is substantially inferior in terms of efficiency in detecting shifts in the covariance matrix than the VMAX chart, which is based on the standardized sample variances. The user's familiarity with sample ranges is a point in favor of the RMAX chart. An example is presented to illustrate the application of the proposed chart.
Descrição
Palavras-chave
control charts, multivariate processes, covariance matrix, sample range, sample variance
Idioma
Inglês
Como citar
Journal of Applied Statistics. Abingdon: Routledge Journals, Taylor & Francis Ltd, v. 38, n. 2, p. 233-245, 2011.
