Results 21 to 30 of about 111,952 (197)
GA-ARMA Model for Predicting IGS RTS Corrections
International Journal of Aerospace Engineering, 2017 The global navigation satellite system (GNSS) is widely used to estimate user positions. For precise positioning, users should correct for GNSS error components such as satellite orbit and clock errors as well as ionospheric delay. The international GNSS
Mingyu Kim, Jeongrae Kim
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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 +3 more
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SchWARMA: A model-based approach for time-correlated noise in quantum circuits
Physical Review Research, 2021 Temporal noise correlations are ubiquitous in quantum systems, yet often neglected in the analysis of quantum circuits due to the complexity required to accurately characterize and model them.
Kevin Schultz +3 more
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R-estimation for arma models [PDF]
Journal of Nonparametric Statistics, 2001 This paper is devoted to the It-estimation problem for the parameter of a stationary ARMA model. The asymptotic uniform linearity of a suitable vector of rank statistics leads to the asymptotic normality of v/w-consistent R-estimates resulting from the minimization of the norm of this vector.
Allal, Jelloul +2 more
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A Guide to Solar Power Forecasting using ARMA Models
, 2018 We describe a simple and succinct methodology to develop hourly auto-regressive moving average (ARMA) models to forecast power output from a photovoltaic solar generator.
Pozo, David, Singh, Bismark
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Comparative Study Among Different Time Series Models for Monthly Rainfall Forecasting in Shiraz Synoptic Station, Iran [PDF]
Water Harvesting Research, 2018 In this research, monthly rainfall of Shiraz synoptic station from March 1971 to February 2016 was studied using different time series models by ITSM Software.
Mehdi Bahrami +4 more
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System identification using neuro fuzzy approach for IoT application
Measurement: Sensors, 2022 The Internet of Things (IoT) has become a popular application in recent years. However, it is the wireless communication mode. In such a scenario, the user would have to send information either nonlinear or dynamic data type in the form of a signal or an
Rakesh Kumar Pattanaik +3 more
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Linear and nonlinear dynamic systems in financial time series prediction [PDF]
Management Science Letters, 2012 Autoregressive moving average (ARMA) process and dynamic neural networks namely the nonlinear autoregressive moving average with exogenous inputs (NARX) are compared by evaluating their ability to predict financial time series; for instance the S&P500 ...
Salim Lahmiri
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Heliyon, 2023 The article focuses on analyzing the robustness of Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN) methods in unemployment rate estimation. In this context, a stochastic trend in the unemployment rate was determined
Dilek Surekci Yamacli, Serhan Yamacli
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Testing a linear ARMA model against threshold-ARMA models: A Bayesian approach [PDF]
Communications in Statistics - Simulation and Computation, 2016 We introduce a Bayesian approach to test linear autoregressive moving-average (ARMA) models against threshold autoregressive moving-average (TARMA) models. Firstly, the marginal posterior densities of all parameters, including the threshold and delay, of a TARMA model are obtained by using Gibbs sampler with Metropolis-Hastings algorithm.
Liang, Rubing +3 more
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