estimator

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Related to Consistent estimator: Efficient estimator, Unbiased estimator

estimate

 [es´tĭ-ma]
1. a rough calculation or one based on incomplete data.
2. a statistic used to characterize the value of a population parameter. Called also estimator.
3. (es´tĭ-māt) to produce or use such a calculation or statistic.

es·ti·ma·tor

(es'tĭ-mā'tŏr),
A prescription for obtaining an estimate from a random sample of data. An estimator is a procedure, not a result, and therefore is a random variable and has a variance. For instance, an estimator of the mean weight in adult men may consist of the prescription "Add up the weights of 100 men and divide by 100." The actual outcome (the estimate) will vary from sample to sample, but one answer will not be a random variable.

estimator

/es·ti·ma·tor/ (es´tĭ-ma″ter) estimate (2).

es·ti·ma·tor

(es'tĭ-mā'tŏr)
A prescription for obtaining an estimate from a random sample of data.

Patient discussion about estimator

Q. Hi friends, I like to estimate my body fat based on my height and weight. Hi friends, I like to estimate my body fat based on my height and weight. When I enquired about this I heard about BMI. Though I understood little about it I want to know more about what is BMI and why is it useful?

A. the BMI is not a very good method...it only helps if you are an average person. you can gain weight if you start training and still get in shape and loose fat. but it is our only cheap method...there are gyms that hold a way of measuring body fat- maybe try going to one of those?

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References in periodicals archive ?
is unknown, one could plug in a consistent estimator of [?
The variance-covariance structures that we derived enable us to construct consistent estimators in a straightforward manner.
While one technique (Design Matrix Bootstrap Estimator) provides a consistent estimator of the asymptotic matrix under more general conditions, the other (Error Bootstrap Estimator) yields a consistent estimator only under the independence assumption.
Second, one substitutes the consistent estimator [b.
The sample value, F = pr[(y* = a + Xc) [is greater than or equal to] O], is a consistent estimator of [PSI].

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