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Missing data imputation in multivariate data by evolutionary algorithms
(Computers in Human Behavior, 2011-09)
This paper presents a proposal based on an evolutionary algorithm to impute missing observations in multivariate data. A genetic algorithm based on the minimization of an error function derived from their covariance matrix ...
The Use of Near-Infrared Spectroscopy and Chemometrics for Determining the Shelf-Life of Products
(Soc Applied SpectroscopyFrederickEUA, 2009)
Screening Brazilian Commercial Gasoline Quality by ASTM D6733 GC and Pattern-Recognition Multivariate SIMCA Chemometric Analysis
(Vieweg, 2009-04-01)
The combination of ASTM D6733 gas chromatographic fingerprinting data with pattern-recognition multivariate soft independent modeling of class analogy (SIMCA) chemometric analysis provides an original and alternative ...
Aplicativos computacionais para geografia: classificacao multivariada por agrupamento
(1988-12-01)
This paper presents a method for multidimensional classification (Cluster Analysis), as well as a 8 bits microcomputer program in BASIC that automates the process. A practical application of the model is also presented. ...
Aplicativos computacionais para geografia: classificacao multivariada por agrupamento
(1988-12-01)
This paper presents a method for multidimensional classification (Cluster Analysis), as well as a 8 bits microcomputer program in BASIC that automates the process. A practical application of the model is also presented. ...
A performance evaluation in multivariate outliers identification methods
(Universidade Federal de Santa Maria, 2020)
Multivariate Quantile Impulse Response Functions
(Wiley Blackwell Publishing, Inc, 2019-08)
A reduced form multivariate quantile autoregressive model is developed to study heterogeneity in the effects of macroeconomic shocks. This framework is used for forecasting and for constructing quantile impulse response ...