Exponential smoothing or exponential moving average (EMA) is a rule of thumb technique for smoothing time series data using the exponential window function...

has media related to Moving averages. Exponential smoothing Local regression (LOESS and LOWESS) Kernel smoothing Moving average convergence/divergence...

distributions of a certain form Exponential smoothing, a technique that can be applied to time series data Exponential type Exponential type or function type,...

applying a double exponential smoothing which is not the case. The name double comes from the fact that the value of an EMA (Exponential Moving Average)...

applying a triple exponential smoothing which is not the case. The name triple comes from the fact that the value of an EMA (Exponential Moving Average)...

smoothing is reasonable and (2) by being able to provide analyses that are both flexible and robust. Many different algorithms are used in smoothing....

sequence Exponential smoothing Exponential stability Exponential sum Exponential time Sub-exponential time Exponential tree Exponential type Exponentially equivalent...

distribution The exponential distribution, which describes the time between consecutive rare random events in a process with no memory. The exponential-logarithmic...

also outside this scope. Other examples of nonlinear functions include exponential functions, logarithmic functions, trigonometric functions, power functions...

Holt's model. An ARIMA(0, 1, 1) model without constant is a basic exponential smoothing model. An ARIMA(0, 2, 2) model is given by X t = 2 X t − 1 − X t...