estimator


Also found in: Dictionary, Thesaurus, Idioms, Encyclopedia, Wikipedia.
Related to 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.
Miller-Keane Encyclopedia and Dictionary of Medicine, Nursing, and Allied Health, Seventh Edition. © 2003 by Saunders, an imprint of Elsevier, Inc. All rights reserved.

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.
Farlex Partner Medical Dictionary © Farlex 2012

es·ti·ma·tor

(es'tĭ-mā'tŏr)
A prescription for obtaining an estimate from a random sample of data.
Medical Dictionary for the Health Professions and Nursing © Farlex 2012

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?

More discussions about estimator
This content is provided by iMedix and is subject to iMedix Terms. The Questions and Answers are not endorsed or recommended and are made available by patients, not doctors.
References in periodicals archive ?
Overall, the estimator captures the error well, although the exact relative error of the region-integrated scalar fluxes is extremely small, ranging from 0.006% to 0.349% in the homogeneous case and from 0.118% to 0.672% in the heterogeneous case.
Beck Technology's DESTINI Profiler software is in use by 40 percent of the ENR Top 400 General Contractors and its DESTINI Estimator software is the only purpose-built platform created exclusively for architects, owners, and developers.
Then, the design process for the wheel torque estimator is illustrated, followed by a description of the experimental setup.
Developed with crowd-sourced input from estimators, features of the DESTINI Estimator platform include:
Among the tested methods, T-Square sampling ranked more often as the closest estimator to the benchmark method.
Chandra and Tyagi [25] modified the r-(k, d) class estimator [11] to address multicollinearity and autocorrelated errors simultaneously, which is expressed as
Once you're done putting in the necessary information, the estimator will suggest a number of allowances you should put down on your W-4.
Even when the residuals are not distributed normally, the OLS estimator is still the best linear unbiased estimator, a weaker condition indicating that among all linear unbiased estimators, OLS coefficient estimates have the smallest variance.
An explicit residual-type error estimator for Q 1 -quadrilateral extended finite element method in two-dimensional linear elastic fracture mechanics, International Journal for Numerical Methods in Engineering 90(April):1118-1155.
Morpho Pose Estimator is currently capable of estimating human body poses and can be trained to estimate postures of animals or objects.
The premier reference resource for professionals and homeowners alike, "2018 National Renovation & Insurance Repair Estimator" provides current prices in dollars and cents and detailed descriptions for hard-to-find items needed on most insurance, repair, remodeling, and renovation jobs.
It is recognized that the mixed regression estimator (MRE) introduced by Theil and Goldberger [6] outperforms ordinary least squares estimator (OLSE) when the regression model is correctly specified.