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of averages of different selections of the full data set. Variations include: simple, cumulative, or weighted forms. Mathematically, a moving average is...

moving-average model (MA model), also known as moving-average process, is a common approach for modeling univariate time series. The moving-average model...

analysis, an autoregressive integrated moving average (ARIMA) model is a generalization of an autoregressive moving average (ARMA) model. To better comprehend...

Average cost method is a method of accounting which assumes that the cost of inventory is based on the average cost of the goods available for sale during...

the statistical analysis of time series, autoregressive–moving-average (ARMA) models provide a parsimonious description of a (weakly) stationary stochastic...

capture all averages. A more general method[failed verification] for defining an average takes any function g(x1, x2, ..., xn) of a list of arguments that...

mathematics, more specifically in dynamical systems, the method of averaging (also called averaging theory) exploits systems containing time-scales separation:...

method, named after the statisticians George Box and Gwilym Jenkins, applies autoregressive moving average (ARMA) or autoregressive integrated moving...

following methods use seasonal indices to measure seasonal variations of a time-series data. Method of simple averages Ratio to trend method Ratio-to-moving-average...

analysis) Finite volume method (numerical analysis) Highest averages method (voting systems) Method of exhaustion Method of infinite descent (number...

world of finance, a structural moving average model (SMAM) is used to calculate account balances dynamically, but with a structured method of calculation...

choice for the average is a simple moving average, but other types of averages can be employed as needed. Exponential moving averages are a common second...

fractionally integrated moving average models are time series models that generalize ARIMA (autoregressive integrated moving average) models by allowing non-integer...

century, as well as Kolmogorov and Zurbenko's use of recursive moving averages from their studies of turbulence in the 1940s. The raw data sequence is...

The moving particle semi-implicit (MPS) method is a computational method for the simulation of incompressible free surface flows. It is a macroscopic,...

regression, also known as moving regression, is a generalization of the moving average and polynomial regression. Its most common methods, initially developed...

inhomogeneous (moving) medium. The method is applicable to both linear and non-linear systems. As a direct consequence of the averaging used in the method, wave...

which use the former method are not technically “moving heads”, since the light source itself does not move. However, the term “moving head” is used interchangeably...

Frequency sampling method Least MSE (mean square error) method Parks–McClellan method (also known as the equiripple, optimal, or minimax method). The Remez exchange...

Variations of this calculation typically involve using different types of moving averages, such as an exponential moving average, a weighted moving average or...