Distribution laws of the most commonly used estimators
Estimators and hypothesis testing

Article REF: R250 V1

Distribution laws of the most commonly used estimators
Estimators and hypothesis testing

Author : Jacques POIRIER

Publication date: July 10, 1992, Review date: August 18, 2022 | Lire en français

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3. Distribution laws of the most commonly used estimators

Recall that we have established that the arithmetic mean $\overset{–}{x}$ : $\overset{–}{x} = \frac{\sum_{i = 1}^{n} x_{i}}{n}$

is an absolutely correct estimator of the mathematical expectation and that :

\hat{σ} {}^{2}=

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