Sentence examples for both classes of estimators from inspiring English sources

Furthermore, it is shown that the Horvitz Thompson estimator belongs to both classes of estimators.

These differences between both classes of estimators are not completely unexpected.

Some new classes of estimators are proposed for any sampling design.

The proposed classes of estimators include several other estimators as a particular case for different values of the parameter.

In this paper we explore the possibility to use a particular class of models, known as probabilistic expert systems, to define two classes of estimators of a contingency table in case of stratified sampling designs.

Local linear and kernel matching estimators are special cases of the general class of estimators that uses local polynomial regression to estimate the (conditional) expected value of the counterfactual outcome (Heckman et al. 1997).

In practice, such a mapping may be difficult to realize numerically and hence a class of estimators is proposed which ensures that the state estimate converges asymptotically to the real state of the system.

The class of estimators includes analogs of the least square, least absolute deviation and the Huber(c) estimators.

The elaborated domain GR-estimators are optimal, they have the minimum variance in a class of estimators that satisfy summation restriction.

New design-based ratio and difference estimators of the distribution function are defined by minimizing the mean square error of a class of estimators.

A class of estimators is proposed to improve the precision of the well known Horvitz Thompson estimators by combining the spline and local polynomial smoothing methods.