447   Artículos

 
en línea
Jeffrey Tim Query, Evaristo Diz     Pág. 145 - 159
AbstractIn this study we examine the robustness of fit for a multivariate and an autoregressive integrated moving average model to a data sample time series type.  The sample is a recurrent actuarial data set for a 10-year horizon.  We utilize ... ver más
Revista: IRA-International Journal of Management & Social Sciences    Formato: Electrónico

 
en línea
Rachmawaty Rachmawaty, Jeni Irnawati, Afif Zaerofi     Pág. 413 - 425
Revista: Economics Development Analysis Journal    Formato: Electrónico

 
en línea
Han Lin Shang    
A key summary statistic in a stationary functional time series is the long-run covariance function that measures serial dependence. It can be consistently estimated via a kernel sandwich estimator, which is the core of dynamic functional principal compon... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
José Francisco Lima, Fernanda Catarina Pereira, Arminda Manuela Gonçalves and Marco Costa    
Linear models, seasonal autoregressive integrated moving average (SARIMA) models, and state-space models have been widely adopted to model and forecast economic data. While modeling using linear models and SARIMA models is well established in the literat... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul and Amrit Kumar Paul    
Denoising is an integral part of the data pre-processing pipeline that often works in conjunction with model development for enhancing the quality of data, improving model accuracy, preventing overfitting, and contributing to the overall robustness of pr... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Nan Fu, Dengfeng Liu, Hui Liu, Baozhu Pan, Guanghui Ming and Qiang Huang    
Water, energy, food, and ecology are essential for achieving sustainable development in a region, and in order to achieve the Sustainable Development Goals, their security is also essential at a river basin scale. This study investigated the interrelatio... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Efrain Noa-Yarasca, Javier M. Osorio Leyton and Jay P. Angerer    
Timely forecasting of aboveground vegetation biomass is crucial for effective management and ensuring food security. However, research on predicting aboveground biomass remains scarce. Artificial intelligence (AI) methods could bridge this research gap a... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Wen Tian, Yining Zhang, Ying Zhang, Haiyan Chen and Weidong Liu    
To fully leverage the spatiotemporal dynamic correlations in air traffic flow and enhance the accuracy of traffic flow prediction models, thereby providing a more precise basis for perceiving congestion situations in the air route network, a study was co... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Chi Han, Wei Xiong and Ronghuan Yu    
Mega-constellation network traffic forecasting provides key information for routing and resource allocation, which is of great significance to the performance of satellite networks. However, due to the self-similarity and long-range dependence (LRD) of m... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Cumhur Ekinci and Oguz Ersan    
Assuming that investors can be foreign or local, do high-frequency trading (HFT) or not, and submit orders through a bank-owned or non-bank-owned broker, we associated trades to various investors. Then, building a panel vector autoregressive model, we an... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

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