- median-
unbiased from the
usual mean-
unbiasedness property. Mean-
unbiasedness is not
preserved under non-linear transformations,
though median-
unbiasedness is...
-
Within the
field of
computer graphics,
unbiased rendering refers to any
rendering technique that does not
introduce systematic error, or bias, into the...
- The
unbiasedness hypothesis states that
given conditions of
rational expectations and risk neutrality, the
forward exchange rate is an
unbiased predictor...
- the
problem of
optimal estimation.
While combining the
constraint of
unbiasedness with the
desirability metric of
least variance leads to good results...
- 1214/aoms/1177730349. JSTOR 2236236. Lehmann,
Erich L. (1951). "A
General Concept of
Unbiasedness".
Annals of
Mathematical Statistics. 22 (4): 587–592. doi:10.1214/aoms/1177729549...
-
different estimators can be
judged by
looking at
their properties, such as
unbiasedness, mean
square error, consistency,
asymptotic distribution, etc. The construction...
-
information theory, a set of
bases in
Hilbert space Cd are said to be
mutually unbiased to mean, that, if a
system is
prepared in an
eigenstate of one of the bases...
- mean-
unbiasedness. Each
measure of
location has its own form of
unbiasedness (see
entry on
biased estimator). The
relevant form of
unbiasedness here is...
- In statistics, best
linear unbiased prediction (BLUP) is used in
linear mixed models for the
estimation of
random effects. BLUP was
derived by Charles...
- mean zero and
homoscedastic with
finite variance). The
requirement for
unbiasedness cannot be dropped,
since biased estimators exist with
lower variance...
