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  2. diagrams.net - Wikipedia

    en.wikipedia.org/wiki/Diagrams.net

    diagrams.net (previously draw.io [2] [3]) is a cross-platform graph drawing software application developed in HTML5 and JavaScript. [4] Its interface can be used to create diagrams such as flowcharts , wireframes , UML diagrams, organizational charts , and network diagrams .

  3. Moving average - Wikipedia

    en.wikipedia.org/wiki/Moving_average

    Smoothing of a noisy sine (blue curve) with a moving average (red curve). In statistics, a moving average (rolling average or running average or moving mean [1] or rolling mean) is a calculation to analyze data points by creating a series of averages of different selections of the full data set.

  4. Microsoft Visio - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Visio

    Microsoft Visio (/ ˈ v ɪ z. i. oʊ /, VIZ-ee-oh), formerly Microsoft Office Visio, is a diagramming and vector graphics application and is part of the Microsoft 365 Business. The product was first introduced in 1992 by former American software company Visio Corporation, and its latest version is Visio 2021.

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  6. Assumed mean - Wikipedia

    en.wikipedia.org/wiki/Assumed_mean

    In statistics, the assumed mean is a method for calculating the arithmetic mean and standard deviation of a data set. It simplifies calculating accurate values by hand. Its interest today is chiefly historical but it can be used to quickly estimate these statistics.

  7. Moving-average model - Wikipedia

    en.wikipedia.org/wiki/Moving-average_model

    [1] [2] The moving-average model specifies that the output variable is cross-correlated with a non-identical to itself random-variable. Together with the autoregressive (AR) model, the moving-average model is a special case and key component of the more general ARMA and ARIMA models of time series, [3] which have a more complicated stochastic ...

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  9. Weighted median - Wikipedia

    en.wikipedia.org/wiki/Weighted_median

    Ideally, a new element would be created using the mean of the upper and lower weighted medians and assigned a weight of zero. This method is similar to finding the median of an even set. The new element would be a true median since the sum of the weights to either side of this partition point would be equal.