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The model outcomes are then compared with the collected plant data and a sequence of statistical data analyses selects the most suitable model among them.
A sequence of statistical tests was used to evaluate the quality of the chosen competing kinetic models and their ability to fit to the experimental data, and more particularly to ensure the reliability of the best model predictions.
A sequence of statistical analyses were designed and applied in order to quantify the relationships, comprising exploratory correlation analysis to identify pairwise linear associations, factor analysis to assess multivariate effects and nonparametric regression tree methods to more carefully explore interactions.
Stratford et al.'s work identified six genetic signatures [ 6] associated with metastatic pancreatic cancer using a sequence of statistical techniques, including the significance analysis of microarray (SAM) [ 7], centroid-based predictor [ 8], Pearson correlation, X-Tile [ 9], Kaplan-Meier estimator [ 10] and Cox model [ 11].
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We develop a complete convergence theory for the Maximum Entropy method based on moment matching for a sequence of approximate statistical moments estimated by the Multilevel Monte Carlo method.
We propose a sequence of required statistical methods used to develop an empirical model and we discuss in detail why they are appropriate for use in tribology, in comparison with other possible solutions.
GCM is a mixed methods participatory approach that combines group processes such as brainstorming; sorting and rating; and group interpretation, with a sequence of multivariate statistical analyses.
20 21 GCM, developed by Trochim, 22 is a mixed-methods participatory approach that uses a combination of group processes (brainstorming, sorting, rating and group interpretation) and a sequence of multivariate statistical analysis (multidimensional scaling and hierarchical cluster analysis) that result in visual representations of all stakeholders opinions in the form of concept maps.
The order of statistical convergence of a sequence of numbers was given by Gadjiev and Orhan in [29], and after then statistical convergence of order α and strong p-Cesàro summability of order α were studied by Çolak [28].
The order of statistical convergence of a sequence of positive linear operators was given by Gadjiev and Orhan [21], and after that Çolak [22] introduced statistical convergence of order α and strong p-Cesàro summability of order α.
The concept of statistical convergence for a sequence of real numbers was defined by Fast [2] and Steinhaus [43] independently in 1951.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com