- In
probability theory and statistics,
variance is the
expected value of the
squared deviation from the mean of a
random variable. The
standard deviation...
- In
statistics and
machine learning, the bias–
variance tradeoff describes the
relationship between a model's complexity, the
accuracy of its predictions...
- all its
random variables have the same
finite variance; this is also
known as
homogeneity of
variance. The
complementary notion is
called heteroscedasticity...
-
Analysis of
variance (ANOVA) is a
collection of
statistical models and
their ****ociated
estimation procedures (such as the "variation"
among and between...
- Look up
variance in Wiktionary, the free dictionary. In
probability theory and statistics,
variance measures how far a set of
numbers are
spread out....
-
variance σ i 2 {\displaystyle \sigma _{i}^{2}} , all
having the same mean, one
possible choice for the
weights is
given by the
reciprocal of
variance:...
- or
probability distribution is the
square root of its
variance. (For a
finite po****tion,
variance is the
average of the
squared deviations from the mean...
- The
Allan variance (AVAR), also
known as two-sample
variance, is a
measure of
frequency stability in clocks,
oscillators and amplifiers. It is
named after...
-
matrix (also
known as auto-covariance matrix,
dispersion matrix,
variance matrix, or
variance–covariance matrix) is a
square matrix giving the
covariance between...
-
median and mode),
while the
parameter σ 2 {\textstyle \sigma ^{2}} is the
variance. The
standard deviation of the
distribution is σ {\textstyle \sigma } (sigma)...
