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**.

Estimator

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

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

- 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...

- 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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