Results 11 to 20 of about 600,300 (312)
Distributed filtering in sensor networks based on linear minimum mean square error criterion with limited sensing range [PDF]
International Journal of Distributed Sensor Networks, 2022 One of the fundamental problems in sensor networks is to estimate and track the target states of interest that evolve in the sensing field. Distributed filtering is an effective tool to deal with state estimation in which each sensor only communicates ...
Teng Shao
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Mean-Square Convergence of Drift-Implicit One-Step Methods for Neutral Stochastic Delay Differential Equations with Jump Diffusion [PDF]
Discrete Dynamics in Nature and Society, 2011 A class of drift-implicit one-step schemes are proposed for the neutral stochastic delay differential equations (NSDDEs) driven by Poisson processes. A general framework for mean-square convergence of the methods is provided.
Lin Hu, Siqing Gan
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Root mean-square error (RMSE) and mean absolute error (MAE) assessments of the compared methods. [PDF]
, 2023 Root mean-square error (RMSE) and mean absolute error (MAE) assessments of the compared methods.
Yang Zhou (65942) +4 more
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IET Radar, Sonar & Navigation, 2021 The issue of aircraft tracking using passive sensors with poor measurement precision and a variable update rate is investigated. First, the need for a time‐dependent Markov chain transition matrix for the Interacting Multiple Model (IMM) is thoroughly ...
Petr Lukeš, Milan Říha
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IET Wireless Sensor Systems, 2021 In wireless localization systems, the performance enhancement of location estimation is an important goal. In recent years, different positioning systems using an ultra‐wide band (UWB) technology have been created, and always an evaluation metric to test
Abbas Albaidhani, Ahlam Alsudani
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Modeling Significant Wave Heights for Multiple Time Horizons Using Metaheuristic Regression Methods
Mathematics, 2023 The study examines the applicability of six metaheuristic regression techniques—M5 model tree (M5RT), multivariate adaptive regression spline (MARS), principal component regression (PCR), random forest (RF), partial least square regression (PLSR) and ...
Rana Muhammad Adnan Ikram +5 more
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International Journal of Mathematics and Mathematical Sciences, 2022 In this research, the normalization performance of the proposed adjusted min-max methods was compared to the normalization performance of statistical column, decimal scaling, adjusted decimal scaling, and min-max methods, in terms of accuracy and mean ...
Saichon Sinsomboonthong
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Mean Square Error of Prediction in the Bornhuetter–Ferguson Claims Reserving Method [PDF]
Annals of Actuarial Science, 2009 ABSTRACTThe prediction of adequate claims reserves is a major subject in actuarial practice and science. Due to their simplicity, the chain ladder (CL) and Bornhuetter–Ferguson (BF) methods are the most commonly used claims reserving methods in practice.
Alai, Daniel Hakim +2 more
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Mean square cross error: performance analysis and applications in non-Gaussian signal processing
EURASIP Journal on Advances in Signal Processing, 2021 Most of the cost functions of adaptive filtering algorithms include the square error, which depends on the current error signal. When the additive noise is impulsive, we can expect that the square error will be very large.
Yunxiang Zhang +3 more
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A New Nonparametric Method for Prediction Based on Mean Squared Relative Errors [PDF]
Communications for Statistical Applications and Methods, 2008 It is common in practice to use mean squared error(MSE) for prediction. Recently, Park and Shin (2005) and Jones et al. (2007) studied prediction based on mean squared relative error(MSRE). We proposed a new nonparametric way of prediction based on MSRE substituting Jones et al.
Seok-Oh Jeong, Key-Il Shin
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