The Kolmogorov-Smirnov Test for normality demonstrated a normal distribution in all groups for all measurements.
The primary outcome variable has been found to have a normal distribution in previous studies; for variables that are non-normally distributed, non-parametric tests will be used and models built suitable for their type of distribution.
where the parameter vector in (1) consists of the gain factor of the th node an energy decay factor which is approximately equal to in free space, and the source signal energy The measurement noise term can be approximated using a normal distribution, In (11), it is assumed that the signal energy, is uniformly distributed over the range.
The Kolmogorov-Smirnov test was used to check for a normal distribution in the data.
It is a dimensional construct, i.e. a stable personality trait with a normal distribution in the population.
From these figures, we observe that our simulation result shows a normal distribution (in the quantile-quantile plot, our data cumulates on the x = y line).
The normal probability plot indicates whether the residuals follow a normal distribution, in which case the points will follow a straight line.
It shows that this result is not only a matter of statistical artefact resulting from the use of a normal distribution in the MXL [39].
From Equation (1), the channel DC gain can be stated as a random variable with a normal distribution (in dB) about the distance-dependent mean.
This scaling law is composed of the product of a normal distribution in particle composition and the one-parameter scaling function for the corresponding homogeneous aggregation problem.
Usually, the instances of test systems in unit commitment are generated using normal distribution, but the behavior of electrical demand does not follow a normal distribution; in this work, simulation data are based on a new method.
