engleski

Multivariate analysis for determination of fish hematological and plasma biochemical responses to water conditions

Since conventional statistical techniques cannot analyze large numbers of interrelated variables, a statistical approach with the power to extract principal components from a multitude of data needs to be applied. Application of mathematical and statistical methods used in order to process large data sets in an optimal way is termed multivariate data analysis. Multivariate tools (MVA) used for reduction of variables, for classification and grouping, are Factor Analysis (FA) and Principal Component Analysis (PCA). They can give an overview of complex multivariate data and reveal relations between observed samples, allowing detection of significant variables as well as outliers. The aim of the study thus was to assess the value and applicability of MVA for hematological and plasma biochemical responses of fish over two seasons, using physicochemical water properties and heavy metals concentration of water as determinants of multiple fish stressors.

Multivariate analysis ; Fish hematology

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