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Furthermore, a deciding weight method based on multivariate statistical estimation is applied for weight optimization.
The developed fault diagnosis system comprises a detection module based on multivariate statistical techniques and an isolation module that uses an artificial neural network as a pattern classifier.
In ecology and epidemiology, exploratory field studies based on multivariate statistical models commonly are used to identify factors that are associated with a phenomenon.
Tools based on multivariate statistical analysis are becoming very popular for automatically revealing the existence of damage in structures using vibration data under changing environmental and operational conditions (typically temperature, humidity and traffic intensity).
Algorithms based on multivariate statistical analysis were developed to classify molecules into different states (van Heel and Frank 1981).
The majority of these schemes are based on multivariate statistical inference theory [7, 8], and interested readers can find comprehensive details in ([8], Ch. 9-10), which discusses multivariate detectors for testing the independence of random observations with the help of the generalized likelihood ratio test (GLRT).
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The candidates of the outliers were selected automatically by a jackknife outlier analysis based on multivariate statistics.
In this study an innovative statistical procedure based on multivariate techniques is applied.
Statistical methods based on multivariate analysis selected two strains of T. weissflogii and C. cryptica as best candidates for biofuel production.
(T^2) is the value for each unit time produced in the statistical range between point and the mean and this statistic (T^2) is computed based on multivariate data set.
Typically, methods for the analysis of SRS data rely on the statistical investigation of disproportionality (DP) [ 14 ], or are based on multivariate modeling [ 3, 4 ].
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based on multivariate statistic
based on multivariate rational
based on multivariate oligomeric
based on multivariate generalised
based on multivariate experimental
based on multivariate latent
based on multivariate normal
based on multivariate predictive
based on multivariate high
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based on multivariate data
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