نتایج جستجو برای: we use a fully modified ordinary least squares fmols method to estimate our long

تعداد نتایج: 16113976  

Journal: :Sustainable Development 2022

Abstract This study investigates the influence of democracy, autocracy, and globalization on carbon dioxide (CO 2 ) emissions in 69 developing countries from 1990 to 2018. We used unit root approaches scrutinize level stationarity recognize that all concern variables were unified at first difference. Pedroni Kao cointegration methodologies employed for detection long‐run cointegration, conclusi...

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...

1999
Paul Evans

Ordinary least squares is unlikely to estimate growth regressions consistently. A simple alternative method is formulated. Applying ordinary least squares and this method to data on 85 countries over the period 1964-1990 reveals that ordinary least squares is strongly biased. The consistent estimates are about twice as large in magnitude as the inconsistent estimates. This finding suggests that...

Journal: :Clinical chemistry 1993
K Linnet

Using simulation, I evaluated five regression procedures that are used for analyzing methods comparison data: ordinary least-squares regression analysis, weighted least-squares regression analysis, the Deming method, a weighted modification of the Deming method, and a rank procedure. I recorded the following performance measures: plus or minus bias of the slope estimate, the root mean squared e...

Journal: :Investigacion Economica 2021

<p>En este trabajo realizamos un análisis empírico de la evolución del agregado monetario M3 y sus componentes en Colombia, con el propósito evaluar las propiedades estabilidad cada uno los activos que forman M3. El se realiza base pruebas raíces unitarias cointegración. La estacionariedad series estudia mediante ADF-GLS M-type test, así como consideran posibilidad cambio estructural. est...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه اصفهان - دانشکده زبانهای خارجی 1388

the purpose of the present study was to investigate the effect of task-based instruction of vocabulary on the receptive and oral productive acquisition of english vocabulary and compare the results with those obtained from the traditional method. the method and procedure applied in this study was as follows: after the implementation of opt, a group of sixty female students were chosen. the stu...

Journal: :Advances in hospitality and tourism research(AHTR) 2022

This study aims to test the validity of tourism-led growth hypothesis. For this purpose, ten countries with highest tourism income (USA, China, Australia, France, Italy, England, Spain, Germany, Japan, Thailand) are included in analysis covering period 1995-2018. Pedroni cointegration, panel Dynamic Ordinary Least Square (DOLS) and Fully Modified (FMOLS) methods utilized by using economic growt...

Journal: :Journal of Computational and Applied Mathematics 2023

We consider the least-squares finite element method (lsfem) for systems of nonlinear ordinary differential equations, and establish an optimal error estimate this when piecewise linear elements are used. The main assumptions that vector field is sufficiently smooth local Lipschitz constant as well operator norm Jacobian matrix associated with nonlinearity small, restricted to a suitable neighbo...

Journal: :iranian journal of science and technology (sciences) 2015
e. babolian

recently, in order to increase the efficiency of least squares method in numerical solution of ill-posed problems, the chain least squares method is presented in a recurrent process by babolian et al. despite the fact that the given method has many advantages in terms of accuracy and stability, it does not have any stopping criterion and has high computational cost. in this article, the attempt...

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