The random variable (xi) has a continuous distribution function (F(x)). As a result of (n) independent observations
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The random variable \(\xi\) has a continuous distribution function \(F(x)\). As a result of \(n\) independent observations of \(\xi\), we have the following values \(x_{1} \[ \eta=\frac{F\left(x_{n}\right)-F\left(x_{2}\right)}{F\left(x_{n}\right)-F\left(x_{1}\right)} \]
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