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This study presents an application of statistical multivariate method together with the solver module in production activity control of an Iranian automotive manufacturer and introduces a revised decision support system which can provide a productive tool for knowledge workers to offer more reliable detailed production plans.
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This study shows that multivariate methods together with high throughput transcriptional methods in the field can provide additional, novel information as to plant status under changing environmental conditions that is impossible to mimic in laboratory conditions.
The use of multivariate analysis methods, together with electronic senses, has shown to be very powerful; however, due to the high complexity of food, the employment of just single sensor data is often insufficient.
KL-Evidence: A Novel Multivariate Method for Differentiating Representations.
poster: KL-Evidence: A Novel Multivariate Method for Differentiating Representations.
saplings were analysed using a multivariate method.
Then a multivariate method was used to statistically classify normal tissues and tumors.
In addition to the multivariate adjustment, we applied the standard multivariate method for energy adjustment.
Despite the fact that different multivariate methods have been proposed for GWAS of more than one phenotype, few studies in model species have been conducted using multivariate techniques7,8.
Agronomic potential was assessed with six descriptors and multivariate methods.
Methods covered include multivariate methods (PCA and extensions), sparse representations (trees, networks, contingency tables) as well as nonparametric testing (Bootstrap, permutation and Monte Carlo methods).
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