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Bivariate statistical evaluation

Trends and fluctuations can have different causes. These can be simply understood through their relationship to other water quality parameters by [Pg.719]

Extreme values make a great difference to correlation coefficients. The linear interrelationship between two variables can be described functionally by a straight-line regression curve. However, this type of description does not always lead to satisfactory results, because deviations from the [Pg.720]


Statistical dimensions number of variables (manifest or latent) taken into account in evaluation. Statistical dimensions define the type of data handling and evaluation, e.g. univariate, bivariate, multivariate... [Pg.79]


See other pages where Bivariate statistical evaluation is mentioned: [Pg.719]    [Pg.719]    [Pg.719]    [Pg.236]    [Pg.214]   
See also in sourсe #XX -- [ Pg.719 ]




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