JSTOR Daily

Multivariate Exponential Smoothing and Dynamic Factor Model Applied to Hourly Electricity Price Analysis

Thanks to its very simple recursive computing scheme, exponential smoothing has become a popular technique to forecast time series. In this work, we show the advantages of its multivariate version and ...
JSTOR Daily

Multi-item sales forecasting with total and split exponential smoothing

Efficient supply chain management relies on accurate demand forecasting. Typically, forecasts are required at frequent intervals for many items. Forecasting methods suitable for this application are ...
PC Magazine

exponential smoothing

A widely used technique in forecasting trends, seasonality and level change. Exponential smoothing works well with data that has a lot of randomness. THIS DEFINITION IS FOR PERSONAL USE ONLY. All ...
ascopubs.org

Time Series Prediction of Lung Cancer Death Rates on the Basis of SEER Data

Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology Three models for yearly time series predictions were built: autoregressive integrated ...
Simon Fraser University

Smoothing Weights

Depending on the smoothing model, the smoothing weights consist of the following: is a level smoothing weight. is a trend smoothing weight. is a seasonal smoothing weight. is a trend damping weight.