Results 51 to 60 of about 6,660,147 (290)
Application of ARIMA models in forecasting livestock products consumption in Tanzania
Poverty is a major problem Tanzania is facing, which depends on agriculture as the main economic activity. Different stakeholders have involved themselves in boosting agricultural productivity, especially in semiarid regions, where their main focus is on
Joseph Frank Mgaya
doaj +1 more source
ABSTRACT Airports are strategic and environmental nodes in global transport systems where rapid passenger growth challenges capacity, sustainability, and resilience. This study uses anonymized mobile network data to analyze and forecast passenger dynamics at Lisbon Airport, Portugal, linking data‐driven insights to sustainable mobility and ...
João Carlos Ferreira +3 more
wiley +1 more source
A Comprehensive Analysis of the Triple-Hybrid Metamodel of MLP-PSO-ARIMA for Forecasting the FDSD Index: A Case Study of Khuzestan Province [PDF]
This study aims to evaluate the performance of the triple-hybrid metamodel MLP-PSO-ARIMA in forecasting the frequency of dust storm days (FDSD) index across seven selected stations in Khuzestan Province during a 50-year statistical period (1970–2019 ...
Mohammad Ansari Ghojghar
doaj +1 more source
Forecasting ARIMA models for atmospheric vineyard pathogens in Galicia and Northern Portugal: Botrytis cinerea spores [PDF]
Botrytis cinerea is the cause of the most common disease in the Galician and Portuguese vineyards. Knowledge of the spore levels in the atmosphere of vineyards is a tool for forecasting models of the concentration of spores in order to adjust the ...
Jato, Victoria +6 more
core
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
The 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
This paper deals with the stochastic modeling of weekly reference crop evapotranspiration in semi-arid climatic condition by using seasonal Auto Regressive Moving Average (ARIMA) model.
S. D. GORANTIWAR +2 more
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Mitigating measurement error in misspecified small area models
Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese +3 more
wiley +1 more source
Los modelos de Box y Jenkins han sido ampliamente usados para la modelación y el pronóstico de muchas variables económicas y financieras. En este artículo se explora la utilización de dicha metodología como una alternativa para el análisis de la dinámica
Juan David Velásquez H. +1 more
doaj
Rising, falling, stalling: complex biodiversity trajectories in English rivers
Freshwater ecosystems face intense anthropogenic pressures. Yet in parts of Europe, including the UK, studies have documented widespread increases in macroinvertebrate diversity following investments to improve water quality. More recent analyses, however, suggest that these gains have slowed, plateaued, or even reversed. Despite increasing recognition
Mansi Mungee +5 more
wiley +1 more source

