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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.


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.


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


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 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 ?
Second, the study shows that estimators using only one prior year of data are substantially less accurate than estimators using two or three years of prior data, particularly for smaller hospitals.
In order to carry out the comparison between the estimators, we need to know the a priori SNR [[xi].
Six non-parametric estimators were calculated: four incidence estimators (Jacknife 1, Jacknife 2, Chao2 and Incidence-based Coverage Estimator) and two abundance estimators (Abundance-based Coverage Estimator and Chaol).
Five estimators are used in this experiment; they are Ordinary Least Squares (OLS), Two Stage Least Squares (2SLS), Limited Information Maximum Likelihood (LIML), Three Stage Least Squares (3SLS) and Full Information Maximum Likelihood (FIML).
The main objectives of the present study were: a) describe several lag-one autocorrelation estimators, presenting the expressions for their calculus; b) propose a new estimator and test it in comparison with the previously developed estimators in terms of bias and Mean Square Error (hereinafter, MSE); c) estimate the statistical power of the tests associated with the ten estimators and based on Monte Carlo sampling.
The three-year enterprise agreement covers the entire suite of DESTINI estimating products, including 30 Estimator licenses and 10 Profiler licenses.
In this section we have presented details of the data-aided (DA), non-data-aided (NDA) and partially data-aided (PDA) ML estimators.
Proposed Ratio Estimators for Population Variance in Adaptive Cluster Sampling: Following (Isaki, 1983) the proposed ratio type variance estimatorin ACS:
Using the known knowledge of the auxiliary variables Kadilar and Cingi [1], suggested the following class of ratio estimators for population mean of the variable under study under simple random sampling (Eq.
North America is the largest market for power system state estimators, while Latin America is the one with the highest projected CAGR.
Cost estimators can also provide improved decision support with a better understanding of group dynamics.
It can be noted that although both estimators are very close to the theoretical one, the K phase estimator seems to have an error smaller than the K power estimator.