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Gislene Araujo Pereira, Mariana Resende, Marcelo Ângelo Cirillo (Author)
Pág. e49929
Multicollinearity is detected via regression models, where independent variables are strongly correlated. Since they entail linear relations between observed or latent variables, the structural equation models (SEM) are subject to the multicollinearity e...
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Wederson Leandro Ferreira, Marcelo Ângelo Cirillo (Author)
Pág. e34995
This work proposes an evaluation ? through data simulations ? of optimality criteria A and D in mixture designs built from a rotational design, considering a normal model and exploring the edge of zero in parts of simplex components, in addition to the a...
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André Luís Alves Costa, Carla Regina Guimarães Brighenti, Marcelo Angelo Cirillo (Author)
Pág. e34953
The main hypothesis of correspondence analysis is given by the independence between the levels of categorical variables. Due to violation of this hypothesis, this study aims to improve the technique of correspondence analysis, providing a new approach fo...
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Manoel Vitor de Souza Veloso, Marcelo Angelo Cirillo (Author)
Pág. 193 - 200
Current study employs Monte Carlo simulation in the building of a significance test to indicate the principal components that best discriminate against outliers. Different sample sizes were generated by multivariate normal distribution with different num...
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