A positive loading of Normality (greatest) and high Significance (major) are used to offer a highly favourable evaluation of the Tsar and his impact on Russia.
However, the non-linear observation function makes the distribution of the predicted observation no longer normal, while the unscented Kalman filtering paradigm assumes normality and discards the higher order moments, introducing approximation error.
The current healthcare crisis as a result of lack of insurance, high prices of prescription drugs in the US and fragmentation of care are instances of breakdown of situation normality and structural assurances such that high levels of trust and distrust could coexist.
Evaluation of the assumption of normality revealed distinct deviations at the low and high ranges of expression.
Column values of the no tumor, low and high tumor burden group were evaluated for normality depending on the group size using the D'Agostino and Pearson omnibus normality test or the Kolmogorov Smirnov test.
This distance based ANOVA is called multivariate analysis of dispersion [ 19], which is also capable of addressing a few common problems in biological experiments such as failure of normality requirement of variables, and higher number of variables than that of samples [ 19].
The Anderson-Darling test has good power and is especially effective at detecting departure from normality in the high and low values of a distribution.
Independent factors associated with high knowledge and high risk of error were analyzed by standard linear regression after checking for multicolinearity and residual normality [ 19].
Normality and abnormality, rightness and wrongness, often run in tandem.
The data showed normality and equal variance.
