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  2. Circular error probable - Wikipedia

    en.wikipedia.org/wiki/Circular_error_probable

    Circular bivariate normal distribution 20 hits distribution example The original concept of CEP was based on a circular bivariate normal distribution (CBN) with CEP as a parameter of the CBN just as μ and σ are parameters of the normal distribution .

  3. Circular Error Probability - Wikipedia

    en.wikipedia.org/?title=Circular_Error...

    This page was last edited on 29 June 2004, at 15:39 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...

  4. Probable error - Wikipedia

    en.wikipedia.org/wiki/Probable_error

    This page was last edited on 17 October 2024, at 06:02 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

  5. Time on target - Wikipedia

    en.wikipedia.org/wiki/Time_On_Target

    A technique called "Time on target" was developed by the British Army in the North African campaign at the end of 1941 and early 1942 particularly for counter-battery fire and other concentrations; it proved very popular.

  6. Confidence region - Wikipedia

    en.wikipedia.org/wiki/Confidence_region

    The confidence region is calculated in such a way that if a set of measurements were repeated many times and a confidence region calculated in the same way on each set of measurements, then a certain percentage of the time (e.g. 95%) the confidence region would include the point representing the "true" values of the set of variables being estimated.

  7. Talk:Circular error probable - Wikipedia

    en.wikipedia.org/wiki/Talk:Circular_error_probable

    This article is within the scope of the Military history WikiProject.If you would like to participate, please visit the project page, where you can join the project and see a list of open tasks.

  8. Ugroza - Wikipedia

    en.wikipedia.org/wiki/Ugroza

    This page was last edited on 21 October 2024, at 04:24 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

  9. 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 ...