Results 121 to 130 of about 51,335 (252)
Public Health Challenges, Volume 5, Issue 4, December 2026.This systematic review and meta‐regression compared the performance of statistical, machine learning, and hybrid models in forecasting tuberculosis (TB) incidence. The study followed PRISMA 2020 guidelines and included studies published between 2010 and 2024. Hybrid models, particularly ARIMA‐LSTM, demonstrated superior forecasting accuracy compared to
Dip Bahadur Singh +5 more
wiley +1 more source
Unes Journal of Swara Justisia, 2020 Permasalahan lalu lintas yang seringkali menimbulkan banyaknya problema dalam masyarakat, di antaranya banyaknya pelanggaran yang dapat ditemui dalam kehidupan sehari-hari, mulai dari pelanggaran rambu-rambu lalu lintas sampai dengan aturan yang ada ...
Dedy Arma
doaj
Generalized normal ARMA model applied to the areas of economy, hydrology, and public policy
openIn questo studio viene presentata una nuova classe di modelli per serie temporali, il modello autoregressivo a media mobile con distribuzione normale generalizzata (GN-ARMA).
XEKA, ARMANDO
core
The Canadian Journal of Chemical Engineering, Volume 104, Issue 11, Page 5854-5874, November 2026.Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley +1 more source
Using Subspace Methods for Estimating ARMA Models for Multivariate Time Series with Conditionally Heteroskedastic Innovations [PDF]
This paper deals with the estimation of linear dynamic models of the ARMA type for the conditional mean for time series with conditionally heteroskedastic innovation process widely used in modelling financial time series.
Dietmar Bauer
core
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal of Forecasting, Volume 45, Issue 7, Page 3170-3190, November 2026.ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
Armas de destrucción masiva : las armas químicas
, 2020 Artículo publicado en la revista TEC1000 en el bienio 2019 ...
openaire +1 more source
The second derivative of the likelihood of an exact ARMA model [PDF]
ARMA Models ...
Leeuw, J.L. van der
core
Where Does the Energy Go in Percussion Drilling? FDEM's Answer
International audienceABSTRACT: A drilling system incorporating percussive action is generally preferred for very hard rock to propagate significant cracking and fragmentation.
Yang, X. +7 more
core +1 more source
Robust CDF‐Filtering of a Location Parameter
Journal of Time Series Analysis, Volume 47, Issue 6, Page 1113-1123, November 2026.ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source