-
being estimated. An
estimator or
decision rule with zero bias is
called unbiased. In statistics, "bias" is an
objective property of an estimator. Bias is...
- Bias is a
disproportionate weight in
favor of or
against an idea or thing,
usually in a way that is inaccurate, closed-minded, prejudicial, or unfair....
-
Unbiased rendering in
computer graphics refers to
techniques that
avoid systematic errors, or biases, in the
radiance approximation of an image. This term...
-
statistics a minimum-variance
unbiased estimator (MVUE) or
uniformly minimum-variance
unbiased estimator (UMVUE) is an
unbiased estimator that has
lower variance...
- The
unbiased estimator with the
smallest variance is
known as the minimum-variance
unbiased estimator (MVUE). To find if your
estimator is
unbiased it...
- mean-
unbiased estimator minimizes the risk (expected loss) with
respect to the squared-error loss function, as
observed by Gauss. A median-
unbiased estimator...
-
error among all
unbiased methods, and is, therefore, the
minimum variance unbiased (MVU) estimator. However, in some cases, no
unbiased technique exists...
-
estimator has the
lowest sampling variance within the
class of
linear unbiased estimators, if the
errors in the
linear regression model are uncorrelated...
- the
estimator is
considered unbiased. This is
called an
unbiased estimator. The
estimator will
become a best
unbiased estimator if it has
minimum variance...
-
information theory, a set of
bases in
Hilbert space Cd are said to be
mutually unbiased if when a
system is
prepared in an
eigenstate of one of the bases, then...
