International Journal of Financial StudiesThe current study aims to model the South African crude oil prices using the hybrid of Box-Jenkins autoregressive integrated moving average (ARIMA) and Neural Networks (NNs).
Johannes Tshepiso Tsoku +2 more
doaj +1 more source
Analysis of Tourism Service Quality in Kołobrzeg Region by Means of Time Series Models [PDF]
, 2012 The undertaken study shows that methods that take into account time series can be successfully used in analysis of parameters of tourist comfort and in evaluation of hotel services.Przeprowadzone badania wskazują, że metody szeregów czasowych mogą być ...
Dłubakowska-Puzio, Ewa K. +2 more
core +2 more sources
Clinical Pharmacology &Therapeutics, EarlyView.In Ontario, biologics have historically represented a small proportion of public drug claims but a large proportion of spending. Biosimilars, lower cost alternatives to biologics, offer a potential solution to the rising spending on biologics. From March 2023 to January 2024, the Ontario Ministry of Health required public drug program beneficiaries on ...
Anita Iacono +10 more
wiley +1 more source
Analyzing covid-19 outbreak for turkey and eight country with curve estimation models, box-jenkins (arima), brown linear exponential smoothing method, autoregressive distributed lag (ardl) and seir models [PDF]
Eurasian Journal of Veterinary Sciences, 2020 Aim: This study is conducted to inform communities and governments about the spread of the COVID-19 pandemic in selected countries: Turkey, Germany, the United Kingdom, France, Italy, Russian, Canada, and Japan.
Mustafa Agah Tekindal +7 more
doaj
Community Detection and Growth Potential Prediction from Patent Citation Networks
, 2019 The scoring of patents is useful for technology management analysis. Therefore, a necessity of developing citation network clustering and prediction of future citations for practical patent scoring arises.
Carreón, Elisa Claire Alemán +8 more
core +1 more source
Prediction Intervals for ARIMA Models [PDF]
Journal of Business & Economic Statistics, 2001 The problem of constructing prediction intervals for linear time series (ARIMA) models is examined. The aim is to find prediction intervals which incorporate an allowance for sampling error associated with parameter estimates. The effect of constraints on parameters arising from stationarity and invertibility conditions is also incorporated.
Snyder, Ralph D. +2 more
openaire +1 more source
Wind Speed Prediction Based on Seasonal ARIMA model [PDF]
, 2022 Ilham Tyass +4 more
openalex +1 more source
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Energy Science &Engineering, EarlyView.Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
19-year remotely sensed data in the forecast of spectral models of the environment
International Journal of Digital Earth, 2021 The aims of this study were: i) to compare no-till areas in two municipalities located in different regions of Brazil, along with the influence on CO2Flux and GPP, and ii) to verify the difference between environmental factors followed by the trends of ...
Fernando Saragosa Rossi +8 more
doaj +1 more source
Minimization of an energy error functional to solve a Cauchy problem arising in plasma physics: the reconstruction of the magnetic flux in the vacuum surrounding the plasma in a Tokamak [PDF]
, 2012 A numerical method for the computation of the magnetic flux in the vacuum surrounding the plasma in a Tokamak is investigated. It is based on the formulation of a Cauchy problem which is solved through the minimization of an energy error functional ...
Abda, Amel Ben +3 more
core +2 more sources