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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. 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. [4]

  4. 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 ...

  5. Student's t-distribution - Wikipedia

    en.wikipedia.org/wiki/Student's_t-distribution

    Download as PDF; Printable version; In other projects ... t statistic is a useful "pivotal quantity" in the case when ... thresholds are calculated by this method ...

  6. 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 ...

  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. 'Drugged' and 'unable to escape': Sex trafficking charges ...

    www.aol.com/news/alexander-brothers-arrested...

    Three brothers in a celebrity real estate family were charged with sex trafficking conspiracy in a case involving "dozens of victims" from Miami Beach to New York, prosecutors said Wednesday ...

  9. Pivot table - Wikipedia

    en.wikipedia.org/wiki/Pivot_table

    A Complete Guide to PivotTables: A Visual Approach (ISBN 1-59059-432-0) (in-depth review at slashdot.org) Excel 2007 PivotTables and PivotCharts: Visual blueprint (ISBN 978-0-470-13231-9) Pivot Table Data Crunching (Business Solutions) (ISBN 0-7897-3435-4) Beginning Pivot Tables in Excel 2007 (ISBN 1-59059-890-3