- example, the
variance of a sum of
uncorrelated random variables is
equal to the sum of
their variances. A
disadvantage of the
variance for practical...
- Look up
variance in Wiktionary, the free dictionary. In
probability theory and statistics,
variance measures how far a set of
numbers are
spread out....
- of
users of the
variance information and may
include e.g.:
Variable cost
variances Direct material variances Direct labour variances Variable production...
- normality, and
homogeneity of
variances of the residuals. The randomization-based
analysis ****umes only the
homogeneity of the
variances of the
residuals (as a...
-
total variance is a
fundamental result in
probability theory that
expresses the
variance of a
random variable Y in
terms of its
conditional variances and...
- x} . The
disturbance in
matrix D is
homoscedastic because the
diagonal variances are constant, even
though the off-diagonal
covariances are non-zero and...
- readers, a more
informative name is "Welch's
unequal variances t-test" — or "unequal
variances t-test" for brevity. Sometimes, it is
referred as Satterthwaite...
- \mathbf {X} }} is also
often called the
variance-covariance matrix,
since the
diagonal terms are in fact
variances. By comparison, the
notation for the cross-covariance...
-
categories of
variances generally are used in the
practice of
local land use planning: area (or bulk)
variances and use
variances. An area
variance is the most...
- In
statistics and
machine learning, the bias–
variance tradeoff describes the
relationship between a model's complexity, the
accuracy of its predictions...
