Results 101 to 110 of about 1,024,956 (306)
Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing [PDF]
This paper concerns the forecasting of seasonal intraday time series. An extension of Holt-Winters exponential smoothing has been proposed that smoothes an intraday cycle and an intraweek cycle.
Ralph D. Snyder, James W. Taylor
core
Economic Impact of Sustainability in Wine Sector: A Systematic Literature Review
ABSTRACT Sustainability has become a key issue in the wine sector, raising questions about its compatibility with firms' economic performance. Despite growing attention to environmental and social practices, evidence on their economic implications remains fragmented.
Valentina Di Chiara +2 more
wiley +1 more source
Statistical Seasonal Forecasting of Winter and Spring PM2.5 Concentrations Over the Korean Peninsula. [PDF]
Jeong D +6 more
europepmc +1 more source
Improving the accuracy of long-term multivariate time series forecasting is important for practical applications. Various Transformer-based solutions emerging for time series forecasting.
Jianhua Hao, Fangai Liu
doaj +1 more source
Domestic and External Drivers of Brazilian Pork Price Volatility Under Russian Trade Policies
ABSTRACT This study investigates how Russian trade policies and domestic factors influence the volatility of Brazilian live swine prices from 2004 to 2019. We employ a DCC‐MGARCH framework, along with volatility impulse‐response functions and the connectedness approach, to analyze time‐varying co‐movement and dynamic volatility spillovers across pork ...
Gabriel Rosero +2 more
wiley +1 more source
A comparison of seasonal rainfall forecasts over Central America using dynamic and hybrid approaches from Copernicus Climate Change Service seasonal forecasting system and the North American Multimodel Ensemble. [PDF]
Kowal KM +3 more
europepmc +1 more source
Accurate electricity consumption forecasting is essential for energy planning, particularly when the available data are limited, non-linear, and seasonally fluctuating. Although the classical Grey Model, GM(1,1), is effective for small-sample forecasting,
Mohsin Alzidani +2 more
doaj +1 more source
On forecasting cointegrated seasonal time series
We analyze periodic and seasonal cointegration models for bivariate quarterly observed time series in an empirical forecasting study. We include both single equation and multiple equation methods for those two classes of models.
Mårten Löf +3 more
core +1 more source
ABSTRACT Aim This study investigated nationwide temporal trends, age‐specific changes, and seasonal variations in appendectomies in Japan using the national database of health insurance claims and specific health checkups (NDB). Methods Data on appendectomies (open [OA] and laparoscopic [LA]) were extracted from the 2018–2023 NDB Open Data.
Shutaro Sumiyoshi +9 more
wiley +1 more source
The economic value of seasonal forecasts
The decision model analysis show that the economic value of seasonal forecasts is strongly dependent on the cost to the user of taking precautionary action against the event considered.
openaire

