What is the difference between Arima and Holt-Winters?

What is the difference between Arima and Holt-Winters?

R’s arima , for example, uses a State Space solution under the hood. Holt-Winters has three parameters, so it’s simple, but they’re basically smoothing factors so it doesn’t tell you much if you know them. ARIMA has more parameters, and some of them have some intuitive meaning, but it still doesn’t tell you much.

What is Holt-Winters additive model?

Is an extension of Holt’s exponential smoothing that captures seasonality. This method produces exponentially smoothed values for the level of the forecast, the trend of the forecast, and the seasonal adjustment to the forecast.

What do you need to know about Holt Winters?

Holt-Winters Forecasting for Dummies (or Developers) – Part I. Triple Exponential Smoothing , also known as the Holt-Winters method, is one of the many methods or algorithms that can be used to forecast data points in a series, provided that the series is “seasonal”, i.e. repetitive over some period.

What are the equations in Holt and winters seasonal method?

Holt ( 1957) and Winters ( 1960) extended Holt’s method to capture seasonality. The Holt-Winters seasonal method comprises the forecast equation and three smoothing equations — one for the level ℓt ℓ t, one for the trend bt b t, and one for the seasonal component st s t, with corresponding smoothing parameters α α, β∗ β ∗ and γ γ.

When do you use Holt Winters exponential smoothing?

Holt-Winters Exponential Smoothing is used for forecasting time series data that exhibits both a trend and a seasonal variation. The Holt-Winters technique is made up of the following four forecasting techniques stacked one over the other: The key concepts upon which Holt-Winters Exponential Smoothing is based (Image by Author)

When did Peter Winters improve the Holt-Winters algorithm?

Three years later, in 1960, a student of Holts (?) Peter R. Winters improved the algorithm by adding seasonality and published Forecasting sales by exponentially weighted moving averages (Management Science 6, 324–342), citing Dr. Holt’s 1957 paper as earlier work on the same subject.