Examples of 'estimator' in a sentence
Meaning of "estimator"
estimator (noun) - An estimator is a person or a tool used to calculate or provide an approximate value, size, cost, etc., of something. In various fields such as construction, economics, and statistics, estimators are crucial for making informed decisions based on projected data
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- A person who estimates, especially one who estimates costs
- A function of a random sample of a population used to estimate some parameter of the whole population
How to use "estimator" in a sentence
Basic
Advanced
estimator
An estimator of a scale parameter is called an estimator of scale.
S is used to represent an estimator of standard deviation in statistics.
An estimator with this property is said to be unbiased.
Signals to parameter estimator from signal detector.
This estimator is consistent and asymptotically efficient.
Is the estimated variance of the estimator of parameter θ.
This estimator is that of the maximum likelihood.
Start a session with finish time estimator.
Noise variance estimator for speech enhancement.
This procedure is known as the within estimator.
It is an unbiased estimator of the true population variance.
This type of formulation is characteristic of a robust estimator.
This means that the estimator is biased.
The posterior median is attractive as a robust estimator.
Kriging is about finding an estimator of minimum error.
See also
Outlier resistant alternatives to the ratio estimator.
The pessimistic estimator is a function of the current state.
The method is built on a posterior mean estimator.
Otherwise the estimator is said to be biased.
Means for differentiation of the first estimator.
A jackknife variance estimator for unequal probability sampling.
Means for differentiation of said first estimator.
How does an estimator estimate the cost of a construction project.
Click the image to launch the estimator.
Frequency estimator for aeronautical communication.
This is done by using downlink power increase estimator.
We show that this estimator often appears to be efficient.
Signals to source tracker from parameter estimator.
The second estimator is a maximum smoothed likelihood estimator.
Unbiasedness is only one desirable property of an estimator.
The first estimator is a randomly weighted kernel estimator.
Said flow rate is estimated by a flow estimator.
Then by feeding an estimator with the additional measurements.
Audio decoder comprising a background noise estimator.
A calibration estimator provides such weights.
Area weighted relative efficiencies of the regression estimator.
The estimator is then in phase with the measurements.
Use this home value estimator to get an idea.
The estimator thus produces the desired effect.
We are just trying to find our best estimator for it.
This is a biased estimator whose expectation is.
In this regard it is referred to as a robust estimator.
An estimator is unbiased if the bias is zero.
It is furthermore equal to the conditional maximum likelihood estimator.
The maximum likelihood estimator is consistent.
With the least variance was known as efficient estimator.
This is where a cost estimator comes in.
The CoWave is equivalent to the maximum likelihood estimator.
The control assigns a probability estimator to individual articles.
We study the properties of the maximum likelihood estimator.
