Definition of Estimator. Meaning of Estimator. Synonyms of Estimator

Here you will find one or more explanations in English for the word Estimator. Also in the bottom left of the page several parts of wikipedia pages related to the word Estimator and, of course, Estimator synonyms and on the right images related to the word Estimator.

Definition of Estimator

Estimator
Estimator Es"ti*ma`tor, n. [L. aestimator.] One who estimates or values; a valuer. --Jer. Taylor.

Meaning of Estimator from wikipedia

- statistics, an estimator is a rule for calculating an estimate of a given quantity based on observed data: thus the rule (the estimator), the quantity...
- function) of an estimator is the difference between this estimator's expected value and the true value of the parameter being estimated. An estimator or decision...
- function can be solved explicitly; for instance, the ordinary least squares estimator maximizes the likelihood of the linear regression model. Under most cir****stances...
- statistics, the mean squared error (MSE) or mean squared deviation (MSD) of an estimator (of a procedure for estimating an unobserved quantity) measures the average...
- In statistics, a consistent estimator or asymptotically consistent estimator is an estimator—a rule for computing estimates of a parameter θ0—having the...
- The Kaplan–Meier estimator, also known as the product limit estimator, is a non-parametric statistic used to estimate the survival function from lifetime...
- In estimation theory and decision theory, a Bayes estimator or a Bayes action is an estimator or decision rule that minimizes the posterior expected value...
- Hodges–Lehmann estimator is a robust and highly efficient estimator of the po****tion median; for non-symmetric distributions, the Hodges–Lehmann estimator is a...
- that the estimator be unbiased cannot be dropped, since biased estimators exist with lower variance. See, for example, the James–Stein estimator (which...
- In statistics, M-estimators are a broad cl**** of extremum estimators for which the objective function is a sample average. Both non-linear least squares...
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