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We compare different spatial interpolation methods, ranging from spatial autocorrelation-based methods to methods that explain the occurrence of elements based on biophysical and socio-economic information.
The comparisons of the existing SPC methods that explain the advantages of the properties of the newly proposed method are shown.
Research reports about this STeLLA line of research provide details about research methods that explain how we know that the STeLLA video-based, analysis-of-practice program is effective, but they provide only a surface-level sketch of the program design and implementation (Roth, Garnier, Chen, Lemmens, Schwille, & Wickler, 2011; Taylor, Roth, Wilson, Stuhlsatz, & Tipton, 2016).
Furthermore, the National Science Foundation has called for discipline-based education research enterprises combining expertise of scientists providing disciplinary priorities, worldviews, knowledge, and practices, with expertise of educational researchers providing knowledge, theories, and methods that explain learning and cognition (Singer et al., 2012).
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For example, Kuhn and Feyerabend (1975), preceded by Popper, were among the first philosophers to expose the bankruptcy of the claim that it was the discovery of a special scientific method that explains that success, a view that is still widely taught in secondary schools today.
In contrast to PCA, which is an unsupervised multivariate statistical classification method that works to explain maximum variation between samples, PLS-DA is a supervised method that explains maximum separation between pre-defined classes (e.g. genotype or health state) in the data.
Realist review is a synthesis method that explains how complex programmes work within various contexts.
In the results section, it would help the presentation of the material to provide a brief description of the relative inclusion ratio at this portion of the text and to define what i and j are (i.e., take some of the material from the methods section that explains this).
Third, models at hand are usually based on descriptive methods that cannot explain linguistic processes as emergent phenomena.
The aim was to seek for any structural changes and differences in the mare populations or mating methods that could explain the possible differences between the breeds and years.
Among the PCA methods, analysis based on principal components that explain 80% of the variation (PCA80) had substantially higher power than analysis based on either the top component (PCA1) or the top five components (PCA1.5) for large sample sizes, except when there was a high correlation between expression probes, in which case all the PCA methods had similar performance.
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CEO of Professional Science Editing for Scientists @ prosciediting.com