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  2. Predicted Aligned Error - Wikipedia

    en.wikipedia.org/wiki/Predicted_Aligned_Error

    Download QR code; Print/export ... interactive plot where the color at ... for further analysis or visualization using a programming language such as Python. The ...

  3. Error bar - Wikipedia

    en.wikipedia.org/wiki/Error_bar

    This statistics -related article is a stub. You can help Wikipedia by expanding it.

  4. x̅ and s chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_s_chart

    Each observation plots against its own control limits as determined by the sample size-specific values, n i, of A 3, B 3, and B 4 Use control limits based on an average sample size [ 7 ] Control limits are fixed at the modal (or most common) sample size-specific value of A 3 , B 3 , and B 4

  5. Propagation of uncertainty - Wikipedia

    en.wikipedia.org/wiki/Propagation_of_uncertainty

    Any non-linear differentiable function, (,), of two variables, and , can be expanded as + +. If we take the variance on both sides and use the formula [11] for the variance of a linear combination of variables ⁡ (+) = ⁡ + ⁡ + ⁡ (,), then we obtain | | + | | +, where is the standard deviation of the function , is the standard deviation of , is the standard deviation of and = is the ...

  6. Detection error tradeoff - Wikipedia

    en.wikipedia.org/wiki/Detection_error_tradeoff

    The normal deviate mapping (or normal quantile function, or inverse normal cumulative distribution) is given by the probit function, so that the horizontal axis is x = probit(P fa) and the vertical is y = probit(P fr), where P fa and P fr are the false-accept and false-reject rates.

  7. Ploticus - Wikipedia

    en.wikipedia.org/wiki/Ploticus

    The first version was released August 25, 1999. [3] Ploticus is a mature product with activity, where the last major release (2.42) occurred in May 2013. [4] Bruce Byfield in Linux.com described Ploticus as, "...a throwback to the days when Unix programs did one thing, and did it well, using a minimum of system resources."

  8. Joint Probabilistic Data Association Filter - Wikipedia

    en.wikipedia.org/wiki/Joint_Probabilistic_Data...

    The sample code in demo2DDataAssociation demonstrates how the algorithms can be used in a simple scenario. Python: The PDAF, JPDAF and other data association methods are implemented in Stone-Soup. [10] A tutorial demonstrates how the algorithms can be used. [11] [12]

  9. Symmetric mean absolute percentage error - Wikipedia

    en.wikipedia.org/wiki/Symmetric_mean_absolute...

    In contrast to the mean absolute percentage error, SMAPE has both a lower and an upper bound. Indeed, the formula above provides a result between 0% and 200%. Indeed, the formula above provides a result between 0% and 200%.