نتایج جستجو برای: the ordinary least squares estimation method ols was applied
تعداد نتایج: 16333454 فیلتر نتایج به سال:
Professional forecasters can rely on econometric models, their personal expertise or both. To accommodate for adjustments to model forecasts, this paper proposes use two stage least squares (TSLS) (and not ordinary [OLS]) the familiar Mincer–Zarnowitz regression when examining bias in professional where instrumental variable is consensus forecast. An illustration 15 with quotes real gross domes...
Within the context of nonlinear system identification, different variants of LS-SVM are applied to the Silver Box dataset. Starting from the dual representation of the LS-SVM, and using Nyström techniques, it is possible to compute an approximation for the nonlinear mapping to be used in the primal space. In this way, primal space based techniques as Ordinary Least Squares (OLS), Ridge Regressi...
hydrochlorothiazide (hct) is a diuretic agent which is shown to be effective in the treatment of hypertension. literature reports have demonstrated that urinary excretion data may be used to assess the bioavailability of various formulations containing this thiazide. also hct consumption by the athletes is one of the drugs which should be regulated by world anti-doping agency (wada), because of...
This paper compares ordinary least squares (OLS), weighted least squares (WLS), and adaptive least squares (ALS) by means of a Monte Carlo study and an application to two empirical data sets. Overall, ALS emerges as the winner: It achieves most or even all of the efficiency gains of WLS over OLS when WLS outperforms OLS, but it only has very limited downside risk compared to OLS when OLS outper...
in this thesis, we exploit a simple and suitable method for immobilization of copper(ii) complex of 4?-phenyl-terpyridine on activated multi-walled carbon nanotubes [amwcnts-o-cu(ii)-phtpy]. this nanostructure was characterized by various physico-chemical techniques. to ensure the efficiency and fidelity of copper species, the implementation of three-component strategies in click-chemistry all...
Ordinary least square (OLS) in regression has been widely used to analyze patient-level data in cost-effectiveness analysis (CEA). However, the estimates, inference and decision making in the economic evaluation based on OLS estimation may be biased by the presence of outliers. Instead, robust estimation can remain unaffected and provide result which is resistant to outliers. The objective of t...
Linear regression with distributed-lags is a consolidated methodology in time series analysis to assess the impact of several explanatory variables on an outcome that may persist over periods.Finite polynomial have long tradition due good flexibility accompanied by advantage linear representation, which allows parameter estimation through Ordinary Least Squares (OLS).However, they require speci...
Background and Objectives: Understanding and analyzing the socio-economic factors affecting mental health is important for mental health policy-making in metropolitan areas. The aim of this study was to investigate the relationship between socio-economic factors and mental health of households living in Tehran. Methods: This cross-sectional descriptive-analytical study was conducted on 6...
The linear absolute shrinkage and selection operator(Lasso) method improves the low prediction accuracy and poor interpretation of the ordinary least squares(OLS) estimate through the use of L1 regularization on the regression coefficients. However, the Lasso is not robust to outliers, because the Lasso method minimizes the sum of squared residual errors. Even though the least absolute deviatio...
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