-
sample mean is a
commonly used
estimator of the po****tion mean.
There are
point and
interval estimators. The
point estimators yield single-valued results...
- (notably in
shrinkage estimators); or
because in some
cases being unbiased is too
strong a condition, and the only
unbiased estimators are not useful. Bias...
- )} ****sky's
theorem can be used to
combine several different estimators, or an
estimator with a non-random
convergent sequence. If Tn →dα, and Sn →pβ...
-
properties of median-unbiased
estimators have been reported.
There are
methods of
constructing median-unbiased
estimators that are
optimal (in a sense...
-
estimator (in the
class of
unbiased estimators) if it
reaches the
lower bound in the Cramér–Rao
inequality above, for all θ ∈ Θ.
Efficient estimators...
- In statistics, M-
estimators are a
broad class of
extremum estimators for
which the
objective function is a
sample average. Both non-linear
least squares...
-
estimators: see
minimum mean-square error.
Among unbiased estimators,
minimizing the MSE is
equivalent to
minimizing the variance, and the
estimator that...
- be
contrasted with a
distribution estimator.
Examples are
given by
confidence distributions,
randomized estimators, and
Bayesian posteriors. “Bias” is...
- Maximum-likelihood
estimators have no
optimum properties for
finite samples, in the
sense that (when
evaluated on
finite samples)
other estimators may have greater...
- Rectangular. In Java, the Weka
machine learning package provides weka.
estimators.Kernel
Estimator,
among others. In JavaScript, the
visualization package D3.js...
