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Normality of data was tested with the Shapiro-Wilk test for normal data.
Measurements were first checked for normality using the Anderson-Darling test and then for significant differences using t-tests for normal data and Wilcox tests for non-normal data.
This study investigates via simulation the performance of seven segment retention criteria used with finite mixture regression models for normal data.
The table-based wakeup for normal data and the radio-chip based wakeup for emergency data are introduced [24].
The idea of mSVDD is to use a set of hyperspheres as a data description for normal data.
However, only a subset of interfaces is active for normal data transfer based on the priority of the interfaces.
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p values are based on independent sample t-test for continuous normal data and Chi-square test for categorical data; p values are based on Mann Whitney U test for non-normal data; IQR = Interquartile Range; SD = Standard Deviation; % = Percentage.
For skew normal data, the normal method provides satisfactory results for small coefficients of skewness (±1 in these simulations).
For the third scenario, our method still performs very well for both normal data and skewed data.
There is a need for more normal data before EPM results can be confidently interpreted [ 17].
This is the case, e.g., for basic iid normal data, or Poisson counts.
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