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EWMA weights samples in geometrically decreasing order so that the most recent samples are weighted most highly while the most distant samples contribute very little. [2]: 406 Although the normal distribution is the basis of the EWMA chart, the chart is also relatively robust in the face of non-normally distributed quality characteristics.
An exponential moving average (EMA), also known as an exponentially weighted moving average (EWMA), [5] is a first-order infinite impulse response filter that applies weighting factors which decrease exponentially. The weighting for each older datum decreases exponentially, never reaching zero. This formulation is according to Hunter (1986). [6]
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.
The EWMA Journal is the official journal of the European Wound Management Association (EWMA). Issues are published in January, May and October. EWMA Journal is CINAHL indexed and provides peer-reviewed original scientific articles, reviews, clinical information, and information about development in wound healing and management across Europe.
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The Triple Exponential Moving Average (TEMA) is a technical indicator in technical analysis that attempts to remove the inherent lag associated with moving averages by placing more weight on recent values.
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The zero lag exponential moving average (ZLEMA) is a technical indicator within technical analysis that aims is to eliminate the inherent lag associated to all trend following indicators which average a price over time.