Results 31 to 40 of about 884,004 (326)
Estimation of transmission line parameters by using two least‐squares methods
IET Generation, Transmission & Distribution, 2021 This work proposes two new approaches based on the ordinary least‐squares method and the total least‐squares method to estimate the parameters of a balanced three‐phase transmission line using voltage and current measurements from phasor measurement unit.
Felipe P. Albuquerque +4 more
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Cauchy: Jurnal Matematika Murni dan Aplikasi, 2017 The purpose of this article was to describe the ability of the quantile regression method in overcoming the violation of classical assumptions. The classical assumptions that are violated in this study are variations of non-homogeneous error or ...
Ferra Yanuar
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Ordinary Least Squares: the Adequacy of Linear Regression Solutions under Multicollinearity and without it [PDF]
Problemi Ekonomiki, 2019 The article deals with the problem of economic adequacy of solving a linear regression problem by the OLS method. The study uses the following definition of adequacy: a linear regression solution is considered adequate if it not only has correct signs ...
Tyzhnenko Alexander G. +1 more
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Robust-M new two-parameter estimator for linear regression models: Simulations and applications
African Scientific Reports, 2023 In the presence of multicollinearity and outliers, the ordinary least squares estimator remains inconsistent and unreliable. Several estimators have been proposed that can co-handle the problems of multicollinearity and outliers simultaneously.
Taiwo Joel Adejumo +4 more
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Appraisal of the factors contributing to European small and medium enterprises innovation performance [PDF]
Problems and Perspectives in Management, 2020 Small and Medium Enterprises (SMEs) play a vital role in driving job creation and Gross Domestic Product (GDP) growth in all economies worldwide. Their increasing importance also means that they must be innovative enough to survive and be sustainable ...
Michael Amponsah Odei, Petr Novak
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EnergiesThe sharp rise in electricity prices in South Africa has raised a growing concern over household electricity use, affordability, and the need for sustainable consumption patterns.
Christinah Setshedi, Gisele Mah
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a simulation comparison of Ridge regression estimators with Lars
پژوهشهای ریاضی, 2022 Introduction Regression analysis is a common method for modeling relationships between variables. Usually Ordinary Least Squares method is applied to estimate regression model parameters.
Roshanak Alimohammadi, Jaleh Bahari
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Applied Sciences, 2023 Essential proteins are vital for maintaining life activities and play a crucial role in biological processes. Identifying essential proteins is of utmost importance as it helps in understanding the minimal requirements for cell life, discovering ...
Sai Zou, Yunbin Hu, Wenya Yang
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A Risk Comparison of Ordinary Least Squares vs Ridge Regression [PDF]
, 2013 We compare the risk of ridge regression to a simple variant of ordinary least squares, in which one simply projects the data onto a finite dimensional subspace (as specified by a Principal Component Analysis) and then performs an ordinary (un-regularized)
Dean P. Foster +4 more
core +3 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +1 more source