Results 21 to 30 of about 424,647 (298)
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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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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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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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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Generalized Nonlinear Modeling With Multivariate Free-Knot Regression Splines
Journal of the American Statistical Association, 2003 A Bayesian method is presented for the nonparametric modeling of univariate and multivariate non-Gaussian response data. Data-adaptive multivariate regression splines are used where the number and location of the knot points are treated as random.
Holmes C.C., Mallick B.K.
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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 Generalized Ridge Regression
, 2023 A Two-Stage approach is described that literally "straighten outs" any potentially nonlinear relationship between a y-outcome variable and each of p = 2 or more potential x-predictor variables. The y-outcome is then predicted from all p of these "linearized" spline-predictors using the form of Generalized Ridge Regression that is most likely to yield ...
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Nonlinear regression models with general distortion measurement errors
Journal of Statistical Computation and Simulation, 2019 This paper considers nonlinear regression models when neither the response variable nor the covariates can be directly observed, but are measured with both multiplicative and additive distortion measurement errors. We propose conditional variance and conditional mean calibration estimation methods for the unobserved variables, then a nonlinear least ...
Jun Zhang, Bingqing Lin, Gaorong Li
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Regression Cloud Models and Their Applications in Energy Consumption of Data Center
Journal of Electrical and Computer Engineering, 2015 As cloud data center consumes more and more energy, both researchers and engineers aim to minimize energy consumption while keeping its services available. A good energy model can reflect the relationships between running tasks and the energy consumed by
Yanshuang Zhou +3 more
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Journal of Innovative Transportation, 2023 Evaluating flexible pavement performance is mandatory for managing transport infrastructure. This study focuses on modeling the relationships between international roughness index (IRI) and a total of 10 types of pavement distress, including alligator ...
Fazlullah Himat, Ufuk Kırbaş
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