An ARMA(1,1) model for monthly stream flows
Sign Up to like & getrecommendations! Published in 2017 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-017-2833-3
Abstract: The partial auto-correlation coefficients of most of the series of monthly stream flows recorded in Turkey of lag greater than one are within the 99% confidence band while the lag-one partial correlation coefficient is highly… read more here.
Keywords: stream flows; model monthly; arma model; monthly stream ... See more keywords
ARMA model identification from noisy observations based on a two-step errors-in-variables approach
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1857
Abstract: Abstract This paper proposes a new method for identifying ARMA models in the presence of additive white noise. The method operates with two main steps. First, the noisy ARMA model is approximated by the sum… read more here.
Keywords: variables approach; errors variables; arma model; model ... See more keywords
Estimation of ARMA-model parameters to describe pathological conditions in cardiovascular system models
Sign Up to like & getrecommendations! Published in 2020 at "Informatics in Medicine Unlocked"
DOI: 10.1016/j.imu.2020.100310
Abstract: Abstract Cardiovascular diseases cause one of three deaths worldwide. Among these diseases, especially aortic aneurysms are a highly underestimated problem. There are some diagnostic methods known in the literature (transesophageal echocardiography, doppler sonography or CT/MRT),… read more here.
Keywords: estimation arma; control group; pathological conditions; arma model ... See more keywords
Prognosis of Bearing Degradation Using Gradient Variable Forgetting Factor RLS Combined With Time Series Model
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2805280
Abstract: 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.… read more here.
Keywords: degradation; forgetting factor; variable forgetting; arma model ... See more keywords
Bayesian change-point modeling with segmented ARMA model
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DOI: 10.1371/journal.pone.0208927
Abstract: Time series segmentation aims to identify segment boundary points in a time series, and to determine the dynamical properties corresponding to each segment. To segment time series data, this article presents a Bayesian change-point model… read more here.
Keywords: time series; change; change point; arma model ... See more keywords