Examples of using Estimator in English and their translations into Russian
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Colloquial
When the prior is improper, an estimator which minimizes the posterior expected loss is referred to as a generalized Bayes estimator. .
It is shown that for measurement error distribution close to uniform indeterminacy center method estimator is more regular.
How can we derive the unit value estimator for the representative period t price t using a hedonic regression?
It can be verified that the least squares estimator for t is the unit value estimator t* defined by 53.
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will be unbiased and will give an unbiased log distance estimator.
The variance estimator of noise generalizes the residual sum of squares of classical mathematical statistic and the 2-nd spectral
In fact, under"reasonable assumptions" the bias of the first-nearest neighbor(1-NN) estimator vanishes entirely as the size of the training set approaches infinity.
Now add error terms to each equation in(54) and calculate the least squares estimator for the resulting linear regression.
the repeated median estimator of Siegel.
will be based on a point estimator or an interval estimator.
the second spectral moment estimators, estimator consistency.
Estimator:"calibrated estimators" use final weights that were properly modified
In this case usage of ordinary least squares estimator can lead to biased,
The open segment estimator was calculated using the tract totals for the entire farm numbers.
That caused problems with regard to both the open segment estimator and the weighted indicators.
The closed segment estimator uses data about the entire land area within a segment tract data.
The open segment estimator utilises data about farms and it is obtained
The second way of deriving the unit value estimator for the representative period t price t using a hedonic regression is to multiply both sides of equation k in(50)
To circumvent this problem, the estimator φ^( t){\displaystyle\scriptstyle{\widehat{\varphi}}(t)} is multiplied by a damping function ψh(t)