IEEE

Hyperspectral image target detection based on exponential smoothing method

Abstract: In this paper, we proposed a new hyperspectral image target detector based on time series analysis, named as Exponential Smoothing Target Detector (ES-TD). As a classical method of time ...
Simon Fraser University

Forecasting Methods

In the STEPAR method, PROC FORECAST first fits a time trend model to the series and takes the difference between each value and the estimated trend. (This process is called detrending.) Then, the ...
Scientific Research Publishing

Liantoni, F. and Agusti, A. (2020) Forecasting Bitcoin Using Double Exponential Smoothing Method Based on Mean Absolute Percentage Error. JOIV: International Journal on ...

ABSTRACT: Forecasting fuel prices is a critical endeavor in energy economics, with significant implications for policy formulation, market regulation, and consumer decision-making. This study ...
Scientific Research Publishing

Comparative Performance of Exponential Smoothing Approach in Forecasting RON 97 Fuel Price in Malaysia ()

1 Faculty of Electronics and Computer Technology and Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. 2 Petroliam Nasional Berhad (PETRONAS), Kuala Lumpur, Malaysia. Forecasting ...
Simon Fraser University

Equations for the Smoothing Models

The ARIMA model equivalency to the additive version of Winters method is the ARIMA(0,1,p+1)(0,1,0) p model The moving-average form of the equation is For the additive version of Winters method (see ...