نتایج جستجو برای: مدل4 ols ols jel g13

تعداد نتایج: 32441  

Journal: :Behavior research methods 2007
Andrew F Hayes Li Cai

Homoskedasticity is an important assumption in ordinary least squares (OLS) regression. Although the estimator of the regression parameters in OLS regression is unbiased when the homoskedasticity assumption is violated, the estimator of the covariance matrix of the parameter estimates can be biased and inconsistent under heteroskedasticity, which can produce significance tests and confidence in...

Journal: :Clinical chemistry 1996
Y K Semra A N Butt R Swaminathan

Recent studies suggest that ouabain or a ouabain-like substance (OLS) may be present endogenously in humans. We developed a RIA for ouabain with antisera raised in goat against ouabain conjugated to keyhole limpet hemocyanin and ovalbumin. The antiserum was of high antibody titer (200,000) and was specific for ouabain, with little cross-reactivity with common steroids and structurally related c...

2018
Juan Antonio García-León Manoj Kumar Ruben Boon David Chau Jennifer One Esther Wolfs Kristel Eggermont Pieter Berckmans Nilhan Gunhanlar Femke de Vrij Bas Lendemeijer Benjamin Pavie Nikky Corthout Steven A. Kushner José Carlos Dávila Ivo Lambrichts Wei-Shou Hu Catherine M. Verfaillie

Scarce access to primary samples and lack of efficient protocols to generate oligodendrocytes (OLs) from human pluripotent stem cells (hPSCs) are hampering our understanding of OL biology and the development of novel therapies. Here, we demonstrate that overexpression of the transcription factor SOX10 is sufficient to generate surface antigen O4-positive (O4+) and myelin basic protein-positive ...

Journal: :JSEA 2010
Majid Moradi Zirkohi Mohammad-Mehdi Fateh Ali Akbarzade

This paper presents a two-level learning method for designing an optimal Radial Basis Function Network (RBFN) using Adaptive Velocity Update Relaxation Particle Swarm Optimization algorithm (AVURPSO) and Orthogonal Least Squares algorithm (OLS) called as OLS-AVURPSO method. The novelty is to develop an AVURPSO algorithm to form the hybrid OLS-AVURPSO method for designing an optimal RBFN. The pr...

2013
Michal Černý

We consider linear regression models where both input data (the values of independent variables) and output data (the observations of the dependent variable) are interval-censored. We introduce a possibilistic generalization of the least squares estimator, so called OLS-set for the interval model. This set captures the impact of the loss of information on the OLS estimator caused by interval ce...

2013
Jeffrey J. Harden Bruce A. Desmarais

State politics researchers commonly employ ordinary least squares (OLS) regression or one of its variants to test linear hypotheses. However, OLS is easily influenced by outliers and thus can produce misleading results when the error term distribution has heavy tails. Here we demonstrate that median regression (MR), an alternative to OLS that conditions the median of the dependent variable (rat...

2016
Raphael Studer Rainer Winkelmann

We propose a new non-linear regression model for rating dependent variables. The rating scale model accounts for the upper and lower bounds of ratings. Parametric and semi-parametric estimation is discussed. An application investigates the relationship between stated health satisfaction and physical and mental health scores derived from self-reports of various health impairments, using data fro...

2001
Koichi Maekawa Michael McAleer Zonglu He Kimio Morimune Adrian Pagan Katsuto Tanaka

In this paper we examine the asymptotic properties of the estimator of the long-run coefficient (LRC) in a dynamic regression model with integrated regressors and serially correlated errors. We show that the OLS estimators of the regression coefficients are inconsistent but the OLS-based estimator of the LRC is superconsistent. Furthermore, we propose an alternative consistent estimator of the ...

2014
Chris M. Herbst Joanna Lucio

Happy in the Hood? The Impact of Residential Segregation on Self-Reported Happiness Previous research consistently finds that racially-based residential segregation is associated with poor economic, health, and social outcomes. The purpose of this paper is to explore the relationship between residential segregation and self-reported happiness. Using panel data from the National Survey of Famili...

2004
Walter Krämer

We show that the power of the KPSS-test against integration, as measured by divergence rates of the test statistic under the alternative, remains the same when residuals from an OLS-regression rather than true observations are used. This is in stark contrast to residual based tests of the null of integration in a cointegration setting, where power is drastically reduced when residuals are used....

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