convergent estimator
[kənˈvɜːrdʒənt ɪˈstɪmeɪtər]
nounpl: convergent estimators
estimador convergente
1. A statistical estimator whose probability distribution becomes increasingly concentrated around the true parameter value as the sample size increases; an estimator that converges in probability to the true parameter.
The sample mean is a convergent estimator of the population mean.
A média amostral é um estimador convergente da média populacional.
2. In statistics, an estimator that satisfies the property of consistency, meaning it approaches the true value of the parameter being estimated as the number of observations increases.
Maximum likelihood estimators are often convergent estimators under certain regularity conditions.
Os estimadores de máxima verossimilhança são frequentemente estimadores convergentes sob certas condições de regularidade.
This is a technical term used primarily in academic and professional statistical contexts in both Brazil and Portugal. It is fundamental to statistical theory and appears extensively in graduate-level mathematics, statistics, and econometrics courses. The concept is particularly important in quality control, data science, and quantitative research across Portuguese-speaking academic communities.
Related Idioms & Phrases
converges in probability to the true parameter
consistency property of an estimator
asymptotically convergent to the parameter value
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