Results 1 to 10 of about 1,177,095 (393)
Modified ridge‐type estimator to combat multicollinearity: Application to chemical data
Journal of Chemometrics, 2019 The Linear regression model is one of the most widely used models in different fields of study. The most popularly used estimation technique is the ordinary least squares estimator.
Adewale F Lukman
exaly +2 more sources
Elektronika ir Elektrotechnika, 2022 In this paper, a novel adaptive control method is presented, aimed at robustifying the terminal voltage of the photovoltaic generator, interfaced by the current-mode-controlled buck DC-DC converter load, and based on conductance estimation.
Yakov Malinkovich +2 more
doaj +1 more source
Application of unscented Kalman filter for clutch position control of automated manual transmission [PDF]
Archive of Mechanical Engineering, 2022 In this paper, an adaptive sliding mode controller (ASMC) is proposed for an electromechanical clutch position control system to apply in the automated manual transmission. Transmission systems undergo changes in parameters with respect to the wide range
Abbas Soltani +2 more
doaj +1 more source
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator [PDF]
IEEE Transactions on robotics, 2017 One camera and one low-cost inertial measurement unit (IMU) form a monocular visual-inertial system (VINS), which is the minimum sensor suite (in size, weight, and power) for the metric six degrees-of-freedom (DOF) state estimation.
Tong Qin, Peiliang Li, S. Shen
semanticscholar +1 more source
Minimax boundary estimation and estimation with boundary
Bernoulli, 2023 We derive non-asymptotic minimax bounds for the Hausdorff estimation of $d$-dimensional submanifolds $M \subset \mathbb{R}^D$ with (possibly) non-empty boundary $\partial M$. The model reunites and extends the most prevalent $\mathcal{C}^2$-type set estimation models: manifolds without boundary, and full-dimensional domains.
Aamari, Eddie +2 more
openaire +4 more sources
Energies, 2021 Particulate matter (soot) emissions from combustion processes have damaging health and environmental effects. Numerical techniques with varying levels of accuracy and computational time have been developed to model soot formation in flames. High-fidelity
Mehdi Jadidi +2 more
doaj +1 more source
Maximum Power Point Tracking of PV System Based on Machine Learning
Energies, 2020 This project studies the conditions at which the maximum power point of a photovoltaic (PV) panel is obtained. It shows that the maximum power point is very sensitive to external disturbances such as temperature and irradiation.
Maen Takruri +7 more
doaj +1 more source
A Class of Estimators for Estimating the Variance of the Ratio Estimator [PDF]
JOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2004 In this paper we have proposed a class of estimators for the variance of the ratio estimator which includes two standard estimators V0 ,V 2 and the estimators VH and V3 suggested by Royall and Eberhardt (1975) and Wu (1982) respectively. Under large sample approximation, the bias and mean-squared error of the proposed class of estimators are obtained ...
Lakshmi N. Upadhyaya +2 more
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On some composite Kies families: distributional properties and saturation in Hausdorff sense
Modern Stochastics: Theory and Applications, 2023 The stochastic literature contains several extensions of the exponential distribution which increase its applicability and flexibility. In the present article, some properties of a new power modified exponential family with an original Kies correction ...
Tsvetelin Zaevski, Nikolay Kyurkchiev
doaj +1 more source
Ensemble Estimators for Multivariate Entropy Estimation [PDF]
IEEE Transactions on Information Theory, 2013 version 3: correction of minor typos from version ...
Alfred O. Hero +2 more
openaire +4 more sources