Results 51 to 60 of about 10,065 (268)

Monitoring patient flow in a hospital emergency department: ARMA-based nonparametric GLRT scheme

Health Informatics Journal, 2021
Overcrowding in emergency departments (EDs) is a primary concern for hospital administration. They aim to efficiently manage patient demands and reducing stress in the ED.
Fouzi Harrou, Farid Kadri, Ying Sun, Sofiane Khadraoui   +3 more
doaj   +1 more source

Where Is the Take in Give and Take? A Review of Empathy Effects on Workplace Outcomes for Both Givers and Receivers

Journal of Organizational Behavior, EarlyView.
ABSTRACT There is increasing interest in understanding and recognition of the importance of empathy effects at work. However, despite the two‐party nature of empathy, little research has distinguished between empathy‐giving versus empathy‐receiving, or between empathy‐giver versus receiver.
Xiaoxiao Jiang, Gillian Yeo, March L. To, Rajiv Amarnani   +3 more
wiley   +1 more source

Hybrid Time Series Method for Long-Time Temperature Series Analysis

Discrete Dynamics in Nature and Society, 2021
This paper combines discrete wavelet transform (DWT), autoregressive moving average (ARMA), and XGBoost algorithm to propose a weighted hybrid algorithm named DWTs-ARMA-XGBoost (DAX) on long-time temperature series analysis.
Guangdong Huang, Jiahong Li
doaj   +1 more source

Living Well With Type 1 Diabetes in Middle School: A Student‐Centered Perspective

Psychology in the Schools, EarlyView.
ABSTRACT Type 1 diabetes (T1D) is among the most common chronic illnesses affecting children and adolescents, meaning that all schools regularly include students with T1D. Supporting their well‐being requires understanding how they experience middle school to address their specific needs.
Isabelle Joing, Gaëlle Marais, Aurore Huchez, Elodie Lespagnol, Elsa Heyman   +4 more
wiley   +1 more source

Statistical modelling of Zimbabwe’s international tourist arrivals using both symmetric and asymmetric volatility models

Journal of Economic and Financial Sciences, 2019
Orientation: Modelling of international tourist arrivals’ volatility is vital for marketing, planning, policy formulation and investment purposes among others.
Delson Chikobvu, Tendai Makoni
doaj   +1 more source

Simultaneous Indirect Inference, Impulse Responses and ARMA Models

Econometrics, 2020
A two-stage simulation-based framework is proposed to derive Identification Robust confidence sets by applying Indirect Inference, in the context of Autoregressive Moving Average (ARMA) processes for finite samples.
Lynda Khalaf, Beatriz Peraza López
doaj   +1 more source

A Methodological Pathway for Supporting the Transition From Theory to Practice in Action‐Oriented Research for Transformative Change

Sustainable Development, EarlyView.
ABSTRACT Over recent decades, action‐oriented research has gained prominence in co‐producing actionable knowledge to drive transformative change toward sustainability. However, further methodological developments are needed to support the transition to the application phase of such knowledge.
María D. López‐Rodríguez, Amanda Jiménez‐Aceituno, Enrica Garau, Cristina Quintas‐Soriano, Juan Miguel Requena‐Mullor, Lena Rölfer, María Mancilla García, Antonio J. Castro   +7 more
wiley   +1 more source

Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training

Journal of King Saud University: Computer and Information Sciences, 2014
To alleviate the limitations of statistical based methods of forecasting of exchange rates, soft and evolutionary computing based techniques have been introduced in the literature.
Minakhi Rout, Babita Majhi, Ritanjali Majhi, Ganapati Panda   +3 more
doaj   +1 more source

ARMA Modelling of Sleep Spindles [PDF]

, 2011
Differences in EEG sleep spindles constitute a promising indicator of neurodegenerative disorders. In this paper an ARMA modelling to sleep spindles is proposed and tested. The primary objective is to distinguish, via poles and zeros location, between regular, elderly and dementia subjects.
João Caldas da Costa, Manuel Duarte Ortigueira, Arnaldo Batista   +2 more
openaire   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source