Results 21 to 30 of about 13,873,042 (261)
Survey of Temporal and Special Changes of Nisan Rainfalls and Prediction of Them in East Azarbayjan Province [PDF]
نشریه جغرافیا و برنامهریزی, 2015 In this paper, Nisan rainfalls of East Azerbaijan Province in the period of 1980 to 2009 were investigated. Initially changes of Nisan rainfalls trend were analyzed using the non-parametric Mann-Kendall test and Sen's estimator slope that are the most ...
Tahere Jalali Ansaroodi +3 more
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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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Sensors, 2015 To solve the problem in which the conventional ARMA modeling methods for gyro random noise require a large number of samples and converge slowly, an ARMA modeling method using a robust Kalman filtering is developed.
Lei Huang
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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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The Annals of Statistics, 1975 In estimating a vector model, $\Sigma B(j)x(n-j)=\Sigma A(j)\epsilon(n-j), A(0)=I_r, E(\epsilon(m)\epsilon(n)')=\delta_{mn}K$ it is suggested that attention be confined to cases where $g(z) =\Sigma A(j)z^j, h(z)=\Sigma B(j)z^j$ have determinants with no zeroes inside the unit circle and have $I_r$ as greatest common left divisor and where $\1brack A(p)\
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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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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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A methodology for stochastic inventory modelling with ARMA triangular distribution for new products
Cogent Business & Management, 2017 This paper proposes a stochastic inventory policy of continuous review with random demand described with temporal dependence through an autoregressive moving average (ARMA) model with explicative variables, of usefulness in new products without a history
Fernando Rojas
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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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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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