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What (who) is moving-average model - definition
Moving-average model
In time series analysis, the moving-average model (MA model), also known as moving-average process, is a common approach for modeling univariate time series. The moving-average model specifies that the output variable is cross-correlated with a non-identical to itself random-variable.
Autoregressive–moving-average model
STATISTICAL MODEL USED IN TIME SERIES ANALYSIS
Autoregressive moving average; ARMAX; Autoregressive moving average model; ARMA model; Autoregressive moving-average model; Autoregressive-moving-average model
In the statistical analysis of time series, autoregressive–moving-average (ARMA) models provide a parsimonious description of a (weakly) stationary stochastic process in terms of two polynomials, one for the autoregression (AR) and the second for the moving average (MA). The general ARMA model was described in the 1951 thesis of Peter Whittle, Hypothesis testing in time series analysis, and it was popularized in the 1970 book by George E.
Moving average
TYPE OF STATISTICAL MEASURE OVER SUBSETS OF A DATASET
Rolling average; Exponential Moving Average; Weighted moving average; Simple moving average; EWMA; Exponentially weighted moving average; Exponential moving average; Moving average (finance); Running average; Moving average (technical analysis); Exponential average; Moving Annual Total; Smavg; Moving annual total; Moving mean; Rolling mean; Temporal average; Temporal averaging; Time average; Time averaging; Weighted rolling average; Moving Average; 7-day rolling average
In statistics, a moving average (rolling average or running average) is a calculation to analyze data points by creating a series of averages of different subsets of the full data set. It is also called a moving mean (MM)Hydrologic Variability of the Cosumnes River Floodplain (Booth et al.
