نتایج جستجو برای: the ordinary least squares estimation method ols was applied

تعداد نتایج: 16333454  

2013
Yu-Cheng Lai

Using detail published firm-level panel data from the Taiwan Economic Journal (TEJ), this study measures the effect of foreign ownership on wage dispersion. The estimation has been done by the Ordinary Least Squares (OLS) technique. It finds that current R&D and capital expenditures lead to decreased wage dispersion in response to a rise in the foreign investment in Taiwan ROC. However, the lag...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه ولی عصر (عج) - رفسنجان - دانشکده ریاضی و کامپیوتر 1389

in this thesis we will present three topics. we define approximate fixed points in fuzzy normed spaces. also we obtain some necessary and sufficient conditions on the existence of? -fixed points for ? > 0. at the continue some results about approximate fixed points for a class of non-expansive maps on g-metric spaces are obtained and we define approximate fixed points in partial metric spa...

Journal: :Energy economics letters 2023

This note examines the impact of three institutional factors on environmental performance and carbon intensity gross domestic product (GDP) for a cross-section sample 154 countries. The are democratization, market orientation economy, prevalence corruption. Per capita income is generally used as control variable. As distribution some variables highly skewed, we apply several robust regression m...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهید مدنی آذربایجان - دانشکده ادبیات و علوم انسانی 1393

abstract over the past two decades, applied linguists and language teachers have shown a great deal of interest in genre-centered approaches , mainly because of pedagogic concerns . this has been due to the need to help non-native readers enhance their ability to understand academic and scientific texts. following swales’ (1981) works on genre analysis, studies of different sections of resear...

ژورنال: انرژی ایران 2020

The Rebound effect refers to the reactions that occur to the advancement of technology and the increase of energy efficiency, and these reactions prevent the achievement of the desired goal completely. In this study, in order to investigate the effect of energy return on the value added of Iranchr(chr(chr('39')39chr('39'))39chr(chr('39')39chr('39')))s industrial sector, first by estimating the ...

2008
J. R. Samuels

We consider the problem of detecting cardiac artery occlusions using stenosis driven viscoelastic (VE) waves propagated through biotissue to body surface sensors. We investigate possible statistical model formulations (ordinary least squares (OLS), generalized least squares (GLS)) and post analysis techniques (residual plots) to ascertain uncertainty in estimates as well as validity of the stat...

2002
Christoph S. Garbe Hagen Spies Bernd Jähne

We present a novel technique to eliminate strong biases in parameter estimation were part of the data matrix is not corrupted by errors. Problems of this type occur in the simultaneous estimation of optical flow and the parameter of linear brightness change as well as in range flow estimation. For attaining highly accurate optical flow estimations under real world situations as required by a nu...

2009
D. R. JENSEN D. E. RAMIREZ

Ridge regression is often favored in the analysis of ill-conditioned systems. A canonical form identifies regions in the parameter space where Ordinary Least Squares (OLS) is problematic. The objectives are two-fold: To reexamine the view that ill-conditioning necessarily degrades essentials of OLS; and to reassess ranges of the ridge parameter k where ridge is efficient in mean squared error (...

Journal: :Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America 2012
Jiguo Cao Jianhua Z Huang Hulin Wu

Ordinary differential equations (ODEs) are widely used in biomedical research and other scientific areas to model complex dynamic systems. It is an important statistical problem to estimate parameters in ODEs from noisy observations. In this article we propose a method for estimating the time-varying coefficients in an ODE. Our method is a variation of the nonlinear least squares where penalize...

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