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The data collected were analyzed using descriptive and inferential statistics by means of Statistical Package of Social Sciences (SPSS) version 15.
Simply put, facts are established by means of statistical inference.
The predictive equations were validated by means of statistical tests and analytical solution.
The optimization of the (R -PE bioconveR -PE is carried out bioconversiontatisticarriederiment design.
The cut-off point was determined by means of statistical analysis of negative samples.
The Duffing oscillator under external non-Gaussian excitations is investigated by means of statistical linearization.
Kinetic parameters are determined using non-linear regression and are validated by means of statistical analysis.
Optimal composition is reached by means of statistical design of experiments (DOE) rather than by "trial and error" approach.
By means of statistical modeling, analytical formulae, which are customized for the considered type of structure, are derived.
The reliability of the proposed approach was confirmed by means of statistical analyses according to EN 1990.
Monitoring livestock production processes by means of statistical control charts can provide an important support for management.
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