Descriptive statistics methods were used for the statistical analysis of the data.
Moreover, statistical testing, predictive and simulation models are applied also as for Statistics methods [70].
Concentration changes of the identified blood proteins were analyzed by descriptive statistics methods.
For data analysis were used descriptive statistics methods and inferential statistics methods such as t-Student test, analysis of variance (ANOVA) and Tukey-test for multiple comparisons.
AUC, UC and MC were compared using different mathematical statistics methods.
Finally Data were analyzed using descriptive methods as well as inferential statistics methods (Anova covariance analysis).
Descriptive and inferential statistics methods were both employed to analyze the research data.
The experimental tests are evaluated with the use of basic mathematical and statistics methods.
Experimental tests are evaluated with the use of basic statistics methods, correlation and regression analysis.
At the end, 3 individuals from experimental group were omitted; finally the achieved data from 37 individuals was analyzed by descriptive statistics methods (frequently and percentage) as well as inferential statistics methods (independent t test, MANOVA).
To locate and rectify the edge parts, coefficient of variation (CV) based threshold and orientation based statistics methods are designed.
