Noun:

মূল্নির্ধারক,

estimators's Usage Examples:

This article primarily deals with efficiency of estimators.

There are point and interval estimators.

The point estimators yield single-valued results.

In statistics, M-estimators are a broad class of extremum estimators for which the objective function is a sample average.

Consistent estimators converge in probability to the true value of the parameter, but may be.

theory, or large sample theory, is a framework for assessing properties of estimators and statistical tests.

Unfortunately, when there are outliers in the data, classical estimators often have very poor performance, when judged using the breakdown point.

said to be a Bayes estimator if it minimizes the Bayes risk among all estimators.

Maximum-likelihood estimators have no optimum properties for finite samples, in the sense that (when evaluated on finite samples) other estimators may have greater.

Let { Tn(Xθ) } be a sequence of estimators for some parameter g(θ).

For example, a comparison of the efficiency of candidate estimators shows that the sample mean is more statistically efficient when — and.

There are a variety of point estimators, each with different properties.

normal, minimum-distance estimators are generally not statistically efficient when compared to maximum likelihood estimators, because they omit the Jacobian.

Both estimators and quantity surveyors must have a background education in the construction.

and—by the Gauss–Markov theorem—optimal in the class of linear unbiased estimators when the errors are homoscedastic and serially uncorrelated.

used estimators (estimation methods) and topics related to them include: Maximum likelihood estimators Bayes estimators Method of moments estimators Cramér–Rao.

squares, and maximum likelihood—as well as some recent methods like M-estimators.

U-statistics arise naturally in producing minimum-variance unbiased estimators.

Many estimators measure location or scale; however, estimators for shape parameters also exist.

Synonyms:

reckoner; statistician; adder; expert; computer; subtracter; calculator; actuary; figurer; number cruncher;

Antonyms:

unskilled; generalist; software;