Sentence examples for cases of distribution from inspiring English sources
The Maxwell Boltzmannian approach to nuclear reaction rate theory is extended to cover Tsallis statistics (Tsallis, 1988) and more general cases of distribution functions.
We consider the cases of distributions with nearly the same shape but considerably distinct correlation lengths, and distributions with same correlation but with contrasting relative kurtosis.
However, examples 2 and 3 represent cases of distributions prone to having outliers (in the sense they were defined in Section 1).
In case of distribution systems, a vast improvement of power quality phenomena is envisioned owing to the generalized use of power electronic devices [76, 77].
In both cases, expansion of distribution networks is rare and those without network connections continue to go without.
Surprise can often be computed analytically, for instance in the case of distributions from the exponential family, or it can be numerically approximated.
It has been proven in [33] that in the case of distributions belonging to the exponential family, EM is one particular case of ICE.
Unless otherwise specified (e.g. Fig. 2C, 3F), all statistical comparisons were made using unpaired T-tests, or (in the case of distributions) Kolmogorov-Smirnov tests.
Continuous variables are presented as means (± standard deviations) in cases of normal distribution or as medians (interquartile ranges) in cases of non-normal distribution.
