The fundamental theorem of exponential smoothing is extended to include the nonasymptotic case where only a finite number of time series observations are available. This extension leads to the ...

Abstract: ‘Smoothed‐market’ methods are used by actuaries, when they value pension plan assets, in order to dampen the volatility in contribution rates recommended to plan sponsors. A method involving ...

This project applies Double Exponential Smoothing to time series data for forecasting, using the Holt-Winters method implemented through the statsmodels library.

Abstract: Inflation is one of the factors influencing price stability. Inflation affects people’s purchasing power and impacts their decisions as economic actors. Consumer Price Index (CPI) is one of ...

ABSTRACT: The transportation sector is responsible for 25% of the total Carbon dioxide (CO2) emissions, whereas 60.6% of this sector represents small and medium passenger cars. However, as noted by ...

https://doi.org/10.2307/2581393 • https://www.jstor.org/stable/2581393 Copy URL Adaptive exponential smoothing models are designed to improve performance by letting ...

ABSTRACT: This paper presents a new method of detecting multi-periodicities in a seasonal time series. Conventional methods such as the average power spectrum or the autocorrelation function plot have ...