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    The pivotal quantity \(\hat{\theta}(s) - \theta\) has a k... — Carmelics
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    Supports→The fiducial argument allows construction of a probability distribution over parameter values based on the observed sample.

    The pivotal quantity \(\hat{\theta}(s) - \theta\) has a known distribution (normal with the aforementioned variance).

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    Related propositions within the same area of thought.
    Fixing the sample to \(s\) fixes the value of \(\hat{\theta}\), which uniquely d...The distribution of the pivotal quantity is independent of the sample.The fiducial argument allows construction of a probability distribution over par...

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    The distribution of the pivotal quantity is independent of the sample.77%Relative to a fixed value of the estimator theta_hat, the distribution...76%Fixing the sample to \(s\) fixes the value of \(\hat{\theta}\), which ...74%Being able to construct such a pivotal quantity is equivalent to being...72%

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    Another way of explaining the same idea invokes the notion of a pivotal quantity. Because of how the above statistical model is set up, we can construct the pivotal quantity \(\hat{\theta}(s) - \theta\). We know the distribution of this quantity, namely normal and with the aforementioned variance. Moreover, this distribution is independent of the sample, and it is such that fixing the sample to \(s\), and so fixing the value of \(\hat{\theta}\), uniquely determines a distribution over the param

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