estimator
1
5.4
- noun
- /ˈɛstɪˌmeɪtər/
- Specialized
:
estimador
- Now for known n, the GLS estimator of B is given by
- maximum likelihood estimator
- likelihood estimator
- OLS estimator
Machine learning today, if you look at deep neural networks, you can think of it as kind of conditional probability estimators, correct?
- Machine learning today, if you look at deep neural networks, you can think of it as kind of conditional probability estimators, correct?
Examples
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Kaplan-Meier estimators determined the cumulative failure function and probability of a first citation by year.
Academic text (2015) -
There are a number of sources of bias in depletion estimators (Ricker, 1975; Hilborn and Walters, 1992).
Academic text (1997) -
The maximum likelihood estimator is as follows.
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Multiple home range estimators are suggested to facilitate comparison with other studies that use just one method.
Academic text (2018) -
The robust sandwich estimator was used to account for correlation introduced by multiple block data between patients.
Academic text (2018) -
Section 5 discusses the various probability estimators and casts them into a common format.
Academic text (1998) -
Poststratification is a commonly used technique for improving the efficiency of estimators (Valliant, 1993).
Academic text (2014) -
The researchers developed a new estimator that improved accuracy in predicting environmental changes.
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Using the project's estimator, we calculated the required resources for the upcoming phase.
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The statistics team implemented a robust estimator to analyze the data collected from the survey.
Synonyms
A model that predicts a number from data like sales or temperature
Surface Forms
Morphology
Etymology
Estimator comes from estimate, from Latin aestimare meaning 'to value'. In statistics and data work, an estimator is a rule or program that gives a guessed value from data, so it finds the number that best represents what you want to know.