Results 11 to 20 of about 423,513 (317)
Parametric Elliptical Regression Quantiles
Revstat Statistical Journal, 2020 The article extends linear and nonlinear quantile regression to the case of vector responses by generalizing multivariate elliptical quantiles to a regression context.
Daniel Hlubinka , Miroslav Šiman
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Simultaneous Regression and Selection in Nonlinear Modal Model Identification
Vibration, 2021 High fidelity finite element (FE) models are widely used to simulate the dynamic responses of geometrically nonlinear structures. The high computational cost of running long time duration analyses, however, has made nonlinear reduced order models (ROMs ...
Christopher Van Damme +3 more
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Seasonal prediction of winter extreme precipitation over Canada by support vector regression [PDF]
Hydrology and Earth System Sciences, 2011 For forecasting the maximum 5-day accumulated precipitation over the winter season at lead times of 3, 6, 9 and 12 months over Canada from 1950 to 2007, two nonlinear and two linear regression models were used, where the models were support vector ...
Z. Zeng +3 more
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Frontiers in Plant Science, 2023 The diameter at breast height (DBH) is the most important independent variable in biomass allometry models based on metabolic scaling theory (MST) or geometric theory. However, the fixed position DBH can be misleading in its use of universal scaling laws
Dongzhi Wang +3 more
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MODIFIED METHOD OF CONSTRUCTING A MULTIVARIATE LINEAR REGRESSION GIVEN BY A REDUNDANT DESCRIPTION
Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2022 A number of scientific works of Prof. O. A. Pavlov and his disciples is devoted to the development of an original method of efficient estimation of coefficients at nonlinear terms of multivariate polynomial regression given by a redundant description ...
Alexander Pavlov, Maxim Holovchenko
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Pendeteksian Outlier pada Regresi Nonlinier dengan Metode statistik Likelihood Displacement
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2012 Outlier is an observation that much different (extreme) from the other observational data, or data can be interpreted that do not follow the general pattern of the model. Sometimes outliers provide information that can not be provided by other data. That'
Siti Tabi'atul Hasanah
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Non-linear Impacts of Product Market Competition on Earnings Quality [PDF]
مجله دانش حسابداری, 2017 Increasing earnings quality raises costs and benefits together. Also, product market competition affects economic variables with multiple impacts.
Mohammad Hossein Ghaemi, Amir Saber
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Fitting Nonlinear Equations with the Levenberg–Marquardt Method on Google Earth Engine
Remote Sensing, 2022 Google Earth Engine (GEE) has been widely used to process geospatial data in recent years. Although the current GEE platform includes functions for fitting linear regression models, it does not have the function to fit nonlinear models, limiting the GEE ...
Shujian Wang +3 more
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Review of guidance papers on regression modeling in statistical series of medical journals
PLoS ONE, 2022 Although regression models play a central role in the analysis of medical research projects, there still exist many misconceptions on various aspects of modeling leading to faulty analyses.
Christine Wallisch +8 more
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Nonlinear regression model generation using hyperparameter optimization
Computers & Mathematics with Applications, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Strijov, Vadim, Weber, Gerhard Wilhelm
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