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An independent samples t-test was used to compare the means of normally distributed numeric dependent variables for two independent groups.
Clinical characteristics of patients with and without CDI were compared using Wilcoxon rank-sum tests for non-normally distributed numeric values, and Fisher's exact or chi-square tests for categorical variables, as appropriate.
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Otherwise, the coordinator node requests all distributed nodes for current numeric values of violated objects to determine whether the global constraint is still satisfied.
In the sliding window scenario, distributed monitoring nodes track numeric values of data objects within the monitoring window W. Based on the arrival order of each object in W, the data objects in window W could be partitioned into several small window units ({s_0,ldotsdots,s_{l-1}}) ((l = frac{W}{w})).
For numeric, normally distributed data, tested by using the Kolmorogov Smirnoff test, the independent t-test was used to determine if there was a significant difference in the mean scores of different groups.
Pertinent problems showing how information granularity is distributed throughout the parameters of numeric functions (and resulting in granular mappings) are formulated as optimization tasks.
This paper studies how to monitor the top-k data objects with the largest aggregate numeric values from distributed data streams within a fixed-size monitoring window W, while minimizing communication cost across the network.
However, their algorithms are inappropriate for the top-k monitoring problem we studied, because their ranking functions are based on the dominance relationship of data objects rather than the aggregate numeric values from distributed data streams.
In "Sliding Window Top-K Monitoring over Distributed Data Streams," authors study how to monitor the top-k data objects with the largest aggregate numeric values from distributed data streams within a fixed size monitoring window, while minimizing communication cost across the network.
All numeric data with normal distributions were compared with one-way analysis of variance, and numeric data not normally distributed were compared with the Mann–Whitney U test.
When local constraints are violated at distributed nodes, our algorithm reallocates the numeric values of violated data objects by assigning revision factors to distributed nodes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com