Results 21 to 30 of about 4,861,455 (309)
, 2023 Least-square means (± SE) of concentration of cortisol and oxytocin as a function of classes of temperament indicators (n = 38).
Marta Fonseca Martins (3850786) +6 more
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Least Orthogonal Distance Estimator and Total Least Square for Simultaneous Equation Models
Statistica, 2014 Least Orthogonal Distance Estimator (LODE) of Simultaneous Equation Models’ structural parameters is based on minimizing the orthogonal distance between Reduced Form (RF) and the Structural Form (SF) parameters.
Alessia Naccarato +2 more
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Gated Dehazing Network via Least Square Adversarial Learning
Sensors, 2020 In a hazy environment, visibility is reduced and objects are difficult to identify. For this reason, many dehazing techniques have been proposed to remove the haze.
Eunjae Ha, Joongchol Shin, Joonki Paik
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Ridge Shrinkage Estimators in Finite Mixture of Generalized Estimating Equations. [PDF]
Mathematics and Modeling in Finance, 2022 The paper considers the problem of estimation of the parameters in nite mixture models.In this article, a new method is proposed for of estimation of the parameters in nite mixture models. Traditionally, the parameter estimation in nite mixture models
Sajad Nezamdoust, Farzad Eskandari
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Time Scale in Least Square Method
Abstract and Applied Analysis, 2014 Study of dynamic equations in time scale is a new area in mathematics. Time scale tries to build a bridge between real numbers and integers. Two derivatives in time scale have been introduced and called as delta and nabla derivative.
Özgür Yeniay +3 more
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Robust Incremental Least Mean Square Algorithm With Dynamic Combiner
IEEE Access, 2022 In distributed wireless networks, the adaptation process depends on the information being shared between various nodes. The global minimum, is therefore, likely to be affected when the information shared between the nodes gets corrupted.
Syed Safi Uddin Qadri +3 more
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Least Square Regularized Regression for Multitask Learning
Abstract and Applied Analysis, 2013 The study of multitask learning algorithms is one of very important issues. This paper proposes a least-square regularized regression algorithm for multi-task learning with hypothesis space being the union of a sequence of Hilbert spaces.
Yong-Li Xu, Di-Rong Chen, Han-Xiong Li
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Binus Business Review, 2014 The factors in macroeconomic gives enormous influence on the fluctuation rate of return on stocks that is reflected in the stock price movement in the stock market.
Sari Minjari Damayanti
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, 2000 Least trimmed squares (LTS) is a statistical technique for estimation of unknown parameters of a linear regression model and provides a “robust” alternative to the classical regression method based on minimizing the sum of squared residuals.
Čížek, Pavel, Víšek, Jan Ámos
openaire +3 more sources
, 2020 Least-square means of moisture, pH, and nicotine concentrations for snus categorized by region and product type.
Hang T. Tran (8308548) +10 more
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