For this we need the moments of the
normal distribution, which are given in Table 5 [59].
According to the property of
normal distribution, the normality grey number has the following properties.
Using the MLEs derived above, we estimate that [U.sub.1] + [U.sub.2] + [U.sub.3] follows a
normal distribution with mean
As for [V.sub.min] [less than or equal to] v [less than or equal to] [V.sub.max], because [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII], where [PHI] denotes the cumulative function of the standard
normal distribution.
The mean ([mu]) and the standard deviation ([sigma]) are the two parameters that define the
normal distribution. The mean is the peak or centre of the bell shaped curve.
"Basically, science as it has existed was based upon the assumption of statistics, and the underlying assumption is that things are fairly independent, which leads to
normal distributions." Think of the classic Bell Curve, a graph of the "normal" distribution of data that often occurs in nature, from neck lengths in a population of giraffes to the height of sunflowers.
The objective of this article is to illustrate how left-censored bivariate data (i.e., longitudinal data with observations < LOD for an analyte measured on two different occasions, or cross-sectional data with observations < LOD for two different analytes) can be imputed based on a bivariate
normal distribution and analyzed using an MI approach.
Assuming that conditional distribution is
normal distribution, quantile values, corresponding to standard levels of tolerance amounting to 0.05 and 0.01 are as follows:
Each of the distributions listed in the first column, from which sample 1 was drawn, was paired with a
normal distribution, from which sample 2 was drawn.
The
Normal distribution of ignition voltage values is accurate method which provided important information about part of insulation because respect values dispersion.