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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 712Application of Advanced Statistical Methods in the...

Application of Advanced Statistical Methods in the Plant Biotechnology and Phytochemistry

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Abstract:

The large dimensionality and unknown distributions are often met in a plant biotechnology and phytochemistry investigations. In this paper two methods are presented: principal component analysis allowing to reduce dimensionality and non-parametric Kruskal-Wallis ANOVA allowing to separate factors’ influence even if the distribution is unknown. The paper contains: problem definition, presentation of the measured data and the final analysis. The paper should be potentially useful to other industrial or research approaches.

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Computational Methods in Applied Sciences

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Periodical:

Applied Mechanics and Materials (Volume 712)

Pages:

101-106

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.712.101

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Online since:

January 2015

Authors:

Ewa Skrzypczak-Pietraszek*, Jacek Pietraszek

Keywords:

CA, Cluster Analysis, Kruskal-Wallis ANOVA, PCA, Phytochemistry, Plant Biotechnology, Principal Component Analysis

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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