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In the summarizing table (Table 5), there is given the data of contingency table approximation by means of its decomposition into singular values.
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Also the benefit of available tracking data for contingency situations in the Proba-3 missions is discussed.
By creating an appropriate data-base of contingencies for training the neural network, the proposed method is able to perform correct load shedding in various loading scenario.
Statistical analysis of polymorphism frequency and haplotype (LD) data involved the use of contingency tables.
Pearson's χ-test was used to explore the relationship between sets of categorical data in a series of contingency tables.
In the univariate analysis, a comparison of contingency data was performed using the Chi-squared test or Fisher's exact test, as appropriate.
Depending on the structure of data, either contingency tables [ n ] or descriptive statistics (n, mean, SD, median, range, quartiles) were presented for time courses and changes from baseline.
Nominal data were analyzed by chi-square analysis-of-contingency tables.
Though the traditional N − 1 simulation is time-consuming, it can discover the detailed data of N − 1 contingency and form fault treatment measures.
However, empirical data integrate a non-reducible part of contingency, which implies a major issue: the generalization of results.
Poisson regression is used in the modelling of count data and contingency tables; however, the extension to modelling survival data via a piecewise exponential model [ 19] serves as an alternative approach to the widely used Cox model.
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