Assertion: weight | /r/HasProperty | random variables
Facets:
Source sentences:
text: If the weights are frequency weights (and thus are random variables), it can be shown that σ ^ w 2 {\displaystyle {\hat {\sigma }}_{\mathrm {w} }^{2}} is the maximum likelihood estimator of σ 2 {\displaystyle \sigma ^{2}} for iid Gaussian observations.
text: If the weights are instead non-random (reliability weights), we can determine a correction factor to yield an unbiased estimator.