- statistics, an
estimator is a rule for
calculating an
estimate of a
given quantity based on
observed data: thus the rule (the
estimator), the quantity...
- In statistics, the bias of an
estimator (or bias function) is the
difference between this
estimator's expected value and the true
value of the parameter...
- Hodges–Lehmann
estimator is a
robust and
highly efficient estimator of the po****tion median; for non-symmetric distributions, the Hodges–Lehmann
estimator is a...
- In
estimation theory and
decision theory, a
Bayes estimator or a
Bayes action is an
estimator or
decision rule that
minimizes the
posterior expected value...
- The Kaplan–Meier
estimator, also
known as the
product limit estimator, is a non-parametric
statistic used to
estimate the
survival function from lifetime...
- of
quality of an
estimator, of an
experimental design, or of a
hypothesis testing procedure. Essentially, a more
efficient estimator needs fewer input...
- can be
solved analytically; for instance, the
ordinary least squares estimator for a
linear regression model maximizes the
likelihood when the random...
- In statistics, a
consistent estimator or
asymptotically consistent estimator is an
estimator—a rule for
computing estimates of a
parameter θ0—having the...
- The James–Stein
estimator is an
estimator of the mean θ := ( θ 1 , θ 2 , … θ m ) {\displaystyle {\boldsymbol {\theta }}:=(\theta _{1},\theta _{2},\dots...
- that
characterizes the
transformation of an
arbitrarily crude estimator into an
estimator that is
optimal by the mean-squared-error
criterion or any of...
