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  2. Exponential smoothing - Wikipedia

    en.wikipedia.org/wiki/Exponential_smoothing

    Exponential smoothing was first suggested in the statistical literature without citation to previous work by Robert Goodell Brown in 1956, [3] and then expanded by Charles C. Holt in 1957. [4] The formulation below, which is the one commonly used, is attributed to Brown and is known as "Brown’s simple exponential smoothing". [5]

  3. The Hacker's Diet - Wikipedia

    en.wikipedia.org/wiki/The_Hacker's_Diet

    Walker also introduces the reader at some length to simple feedback and control systems, providing spreadsheets to demonstrate feedback, oscillation and data smoothing to illustrate his arguments. While the diet is a fairly straightforward calorie -counting approach, data smoothing ( exponential moving averages in particular) is considered a ...

  4. Smoothing - Wikipedia

    en.wikipedia.org/wiki/Smoothing

    Smoothing may be distinguished from the related and partially overlapping concept of curve fitting in the following ways: . curve fitting often involves the use of an explicit function form for the result, whereas the immediate results from smoothing are the "smoothed" values with no later use made of a functional form if there is one;

  5. Zero lag exponential moving average - Wikipedia

    en.wikipedia.org/wiki/Zero_lag_exponential...

    The idea is do a regular exponential moving average (EMA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from "lag" days ago thus removing (or attempting to) the cumulative effect of the moving average.

  6. 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. Variations include: simple, cumulative, or ...

  7. Trix (technical analysis) - Wikipedia

    en.wikipedia.org/wiki/Trix_(technical_analysis)

    Note that the distribution's mode will lie with p N-2 's weight, i.e. in the graph above p 8 carries the highest weighting. An N of 1 is invalid. The easiest way to calculate the triple EMA based on successive values is just to apply the EMA three times, creating single-, then double-, then triple-smoothed series. The triple EMA can also be expressed directly in terms of the prices as below ...