An introduction to multivariate statistical analyses. Part I. Theoretical background
Zygmunt Kaczmarek
Instytut Genetyki Roślin Polskiej Akademii Nauk w Poznaniu, Pracownia Biometrii (Poland)
Dariusz R. Mańkowski
d.mankowski@ihar.edu.plInstytut Hodowli i Aklimatyzacji Roślin, Państwowy Instytut Badawczy w Radzikowie, Pracownia Ekonomiki Nasiennictwa i Hodowli Roślin (Poland)
https://orcid.org/0000-0002-7499-8016
Abstract
Multivariate analyses are increasingly used in agricultural research. The widespread availability of statistical packages pursuing this type of analysis allows for their use. Then, the ability of appropriate application of the analysis and correct interpretation of its results becomes problematic. The paper discusses basic concepts of the multivariate analysis, the multivariate model of observations, the multivariate analysis of variance, the appropriate statistical tests and the multivariate methods for estimation of the objects’ similarity.
Keywords:
multivariate analysis, multivariate grouping, correlation matrix, covariance matrix, MANOVA, multivariate similarity measuresReferences
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Authors
Zygmunt KaczmarekInstytut Genetyki Roślin Polskiej Akademii Nauk w Poznaniu, Pracownia Biometrii Poland
Authors
Dariusz R. Mańkowskid.mankowski@ihar.edu.pl
Instytut Hodowli i Aklimatyzacji Roślin, Państwowy Instytut Badawczy w Radzikowie, Pracownia Ekonomiki Nasiennictwa i Hodowli Roślin Poland
https://orcid.org/0000-0002-7499-8016
Statistics
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