Buscar
Mostrando ítems 31-40 de 7996
Controle estatístico multivariado de processos através do gráfico T2 de Hotelling: um estudo de caso no setor de embalagens
(Universidade Tecnológica Federal do ParanáPonta GrossaBrasilDepartamento Acadêmico de Engenharia de ProduçãoEngenharia de ProduçãoUTFPR, 2017-11-24)
Multivariate analysis has been used lately as organizations have modern equipment that creates correlated data and requires simultaneous monitoring. One of the areas that deals with such problems is determined by multivariate ...
Multivariate statistical analysis for estimating surface water quality in reservoirs
(Indercience Publishers, 2018-02)
Regular water quality monitoring programs are an important aspect of water management. Different multivariate statistical techniques were applied for interpretation and evaluation of the data matrix obtained during a six ...
Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha
(Genetics and Molecular Research, 2017)
Conceptual and statistical problems associated with the use of diversity indices in ecology
(Universidad de Costa Rica, 2009)
Water quality assessment using multivariate statistical techniques in Río Tercero Reservoir, Argentina
(Nordic Association for Hydrology, 2015-06)
Water quality monitoring programs generate complex multidimensional data sets. In this study, multivariate statistical techniques were employed as an effective tool for the analysis and interpretation of these water quality ...
A control chart based on sample ranges for monitoring the covariance matrix of the multivariate processes
(Routledge Journals, Taylor & Francis Ltd, 2011-01-01)
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 ...
A control chart based on sample ranges for monitoring the covariance matrix of the multivariate processes
(Routledge Journals, Taylor & Francis Ltd, 2011-01-01)
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 ...