The novelty of our method lies in the usage of a variant statistical parameter skewness that shows a difference for any kind of pattern.
Therefore, the microsatellites are not homologous and cannot be directly compared, which unfortunately prevents the usage of statistical methods in a meaningful manner.
Furthermore, compared to cross-sectional studies, longitudinal studies have several strengths regarding the interpretation of causal relationships (Kalicki et al. forthcoming), the range of research questions that can be answered and the usage of advanced statistical methods as described in more detail in the following.
Here we highlight the appropriate usage of different statistical tests and demonstrate the value of interactive, univariate (cloud plot), and multivariate (PCA plots) visualization tools for different experimental designs: two-group comparison, meta-analysis, and multigroup comparison.
Gene components, which are synthesized latent factors, and orthogonal transformations of original high-throughput data are interpreted as the projection of high dimensional vector space into a few gene component axes, and the number of gene component (p′) is no longer larger than sample numbers (n), facilitating the usage of classical statistical tools.
We showed how a combined usage of systems engineering, statistical analysis (ANOVA, feature selection, and link analysis), and knowledge management methods (elucidation of tacit knowledge by targeted fieldwork) could be used to identify where quality-critical operator judgements were occurring, where these had previously been hidden to the operators and managers.
This allows the application of a statistical Bayesian framework and usage of information-theoretic measures for experimental design.
This computation requires knowledge about the emitter's transmission power, the usage of an accurate propagation model, and a statistical model of phenomena such as background noise [22].
For the multi-objective cost-efficiency evaluation (IPOG-F, jenny), we followed the same two steps previously mentioned: transformation of the cost-efficiency (two-dimensional) representation into a one-dimensional one and usage of statistical tests, such as the t-test or the nonparametric Wilcoxon test (Signed Rank) (Kohl 2015), to compare each pair of test suites (TTR 1.2 and other).
Similarly, recent years have seen the usage of statistical machine learning-based text analysis techniques grow in authorship analysis studies [4],[4],[4],[4]].
