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  2. Pivotal quantity - Wikipedia

    en.wikipedia.org/wiki/Pivotal_quantity

    Then is called a pivotal quantity (or simply a pivot). Pivotal quantities are commonly used for normalization to allow data from different data sets to be compared. It is relatively easy to construct pivots for location and scale parameters: for the former we form differences so that location cancels, for the latter ratios so that scale cancels.

  3. Fiducial inference - Wikipedia

    en.wikipedia.org/wiki/Fiducial_inference

    The pivotal method is based on a random variable that is a function of both the observations and the parameters but whose distribution does not depend on the parameter. Such random variables are called pivotal quantities. By using these, probability statements about the observations and parameters may be made in which the probabilities do not ...

  4. Ancillary statistic - Wikipedia

    en.wikipedia.org/wiki/Ancillary_statistic

    A ancillary statistic is a specific case of a pivotal quantity that is computed only from the data and not from the parameters. They can be used to construct prediction intervals . They are also used in connection with Basu's theorem to prove independence between statistics.

  5. t-statistic - Wikipedia

    en.wikipedia.org/wiki/T-statistic

    Most frequently, t statistics are used in Student's t-tests, a form of statistical hypothesis testing, and in the computation of certain confidence intervals. The key property of the t statistic is that it is a pivotal quantity – while defined in terms of the sample mean, its sampling distribution does not depend on the population parameters, and thus it can be used regardless of what these ...

  6. Costco executive warns of price hikes because of Trump ... - AOL

    www.aol.com/news/costco-executive-warns-price...

    A top Costco executive sounded the alarm on the potential consequences of President-elect Donald Trump’s proposed tariffs — warning that it will raise prices of goods across the board. “When ...

  7. Robust statistics - Wikipedia

    en.wikipedia.org/wiki/Robust_statistics

    Robust statistical methods, of which the trimmed mean is a simple example, seek to outperform classical statistical methods in the presence of outliers, or, more generally, when underlying parametric assumptions are not quite correct. Whilst the trimmed mean performs well relative to the mean in this example, better robust estimates are available.

  8. Race for the No. 1 pick in NFL Draft is impossibly sad - AOL

    www.aol.com/sports/four-verts-race-no-1...

    With three games left in the regular season, Charles McDonald sizes up a sad race for the top pick, lavishes godlike praise on Josh Allen, and laughs at an awesomely bad game from the weekend.

  9. Lamar Jackson breaks Michael Vick's NFL record for career ...

    www.aol.com/lamar-jackson-breaks-michael-vicks...

    Lamar Jackson now stands alone as the NFL's most prolific quarterback on the ground after he broke Michael Vick's QB rushing record.