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  2. Moving average - Wikipedia

    en.wikipedia.org/wiki/Moving_average

    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 weighted forms. Mathematically, a moving average is a type of convolution.

  3. Exponential smoothing - Wikipedia

    en.wikipedia.org/wiki/Exponential_smoothing

    Exponential smoothing. Exponential smoothing or exponential moving average (EMA) is a rule of thumb technique for smoothing time series data using the exponential window function. Whereas in the simple moving average the past observations are weighted equally, exponential functions are used to assign exponentially decreasing weights over time.

  4. Autoregressive moving-average model - Wikipedia

    en.wikipedia.org/wiki/Autoregressive_moving...

    Autoregressive moving-average model. In the statistical analysis of time series, autoregressive–moving-average (ARMA) models are a way to describe of a (weakly) stationary stochastic process using autoregression (AR) and a moving average (MA), each with a polynomial. They are a tool for understanding a series and predicting future values.

  5. Earth mover's distance - Wikipedia

    en.wikipedia.org/wiki/Earth_mover's_distance

    Earth mover's distance. In computer science, the earth mover's distance (EMD) [1] is a measure of dissimilarity between two frequency distributions, densities, or measures, over a metric space D. Informally, if the distributions are interpreted as two different ways of piling up earth (dirt) over D, the EMD captures the minimum cost of building ...

  6. Local regression - Wikipedia

    en.wikipedia.org/wiki/Local_regression

    Local regression or local polynomial regression, [1] also known as moving regression, [2] is a generalization of the moving average and polynomial regression. [3] Its most common methods, initially developed for scatterplot smoothing, are LOESS (locally estimated scatterplot smoothing) and LOWESS (locally weighted scatterplot smoothing), both pronounced / ˈ l oʊ ɛ s / LOH-ess.

  7. Double exponential moving average - Wikipedia

    en.wikipedia.org/wiki/Double_exponential_moving...

    The name double comes from the fact that the value of an EMA ( Exponential Moving Average) is doubled. To keep it in line with the actual data and to remove the lag the value " EMA of EMA " is subtracted from the previously doubled ema. The formula is: [3] [4] [5] Because EMA (EMA) is used in the calculation, DEMA needs 2 × period - 1 samples ...

  8. How to pay for moving expenses: 4 options to consider - AOL

    www.aol.com/finance/pay-moving-expenses-4...

    Research the cost of moving companies or trucks in your area to estimate your total moving costs. Next, divide the cost by the number of months until your move. For example, if your estimated cost ...

  9. EWMA chart - Wikipedia

    en.wikipedia.org/wiki/EWMA_chart

    EWMA chart. In statistical quality control, the EWMA chart (or exponentially weighted moving average chart) is a type of control chart used to monitor either variables or attributes-type data using the monitored business or industrial process 's entire history of output. [1] While other control charts treat rational subgroups of samples ...

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