Results 51 to 60 of about 12,105 (264)

Evaluation of Combined ARMA-ARCH and BL-ARCH models in Modeling Lake Urmia water level [PDF]

علوم و مهندسی آبیاری, 2017
Many nonlinear models have been developed based on the mean errors modeling. However, the non-linear models with Autoregressive conditional heteoscedasticity are based on variance modeling. These models are combined with linear models, partly to increase
Mohammad Nazeri Tahrudi, Keyvan Khalili, Marziyeh Abbass Zadeh Afshar, Javad Behmanesh   +3 more
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

Prognosis of Bearing Degradation Using Gradient Variable Forgetting Factor RLS Combined With Time Series Model

IEEE Access, 2018
Rolling element bearing is a critical component in many mechanical systems in view of its critical functionality. One of the major issues industries face today is the failure of bearings, which results in catastrophic consequences.
Yanfei Lu, Qing Li, Zhipeng Pan, Steven Y. Liang   +3 more
doaj   +1 more source

Sea Spectral Estimation Using ARMA Models

Sensors, 2021
This paper deals with the spectral estimation of sea wave elevation time series by means of ARMA models. To start, the procedure to estimate the ARMA coefficients, based on the use of the Prony’s method applied to the auto-covariance series, is presented.
Marta Berardengo, Giovanni Battista Rossi, Francesco Crenna   +2 more
doaj   +1 more source

An improved hybrid of nonlinear autoregressive with exogenous input and autoregressive moving average for long-term machine state forecasting based on vibration signal

, 2010
This paper presents an improvement of hybrid of nonlinear autoregressive with exogenous input (NARX) and autoregressive moving average (ARMA) for long-term machine state forecasting based on vibration data.
Yang, Bo-Suk, Tran, Van Tung, Pham, Hong Thom   +2 more
core   +1 more source

A Bayesian Analysis of Spectral ARMA Model [PDF]

, 2012
Bezerra et al. (2008) proposed a new method, based on Yule-Walker equations, to estimate the ARMA spectral model. In this paper, a Bayesian approach is developed for this model by using the noninformative prior proposed by Jeffreys (1967).
Iano, Yuzo, Moala, Fernando Antonio [UNESP], Moala, Fernando Antonio, Silvestre Bezerra, Manoel I. [UNESP], Silvestre Bezerra, Manoel I.   +4 more
core   +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

A Comparative APARCH Volatility Study of International Markets

Economies
This paper compares the daily return volatility by four leading international indices: JSE Top 40, FTSE 100, Nikkei 225 and S&P/ASX 200. The return series are modelled in ARMA process, where ARMA(1,3) values are taken for JSE Top 40 and S&P/ASX 200, ARMA(
Fhulufhedzani Justice Madega, Thinawanga Hangwani Tshisikhawe, Thakhani Ravele, Caston Sigauke   +3 more
doaj   +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

Türkiye'de Ekonomik Şoklar ve Krizler Bağlamında Enflasyon Öngörüsü: XGBOOST ve ARMA Yöntemlerinin Karşılaştırması

Ekonomi, Politika & Finans Araştırmaları Dergisi
Enflasyon, ekonomik istikrar ve büyüme üzerinde derin etkiler yaratan, temel bir makroekonomik göstergedir. Fiyatlar genel düzeyindeki süreklilik arz eden artışlar, yalnızca bireylerin satın alma güçlerini zayıflatmakla kalmayıp, ulusal ekonominin ...
Savaş Gayaker
doaj   +1 more source