Search Results - subject:"Least squares estimators"

Confirmatory factor analysis with ordinal data : effects of model misspecification and indicator nonnormality on two weighted least squares estimators

Beretvas, Susan Natasha (contributor) - 2009

Full weighted least squares (full WLS) and robust weighted least squares (robustWLS) are currently the two primary estimation methods designed for structural equationmodeling with ordinal observed variables. These methods assume that continuous latentvariables were coarsely categorized by the...

Persistent link: https://www.econbiz.de/10009429284

On the Ambiguous Consequences of Omitting Variables

De Luca, Giuseppe; Magnus, Jan; Peracchi, Franco - 2015

-generation process, the least-squares estimators have smaller bias (in fact zero bias) but larger variances in the long regression than …

Persistent link: https://www.econbiz.de/10011288416

On the ambiguous consequences of omitting variables

De Luca, Giuseppe; Magnus, Jan R.; Peracchi, Franco - 2015

-generation process, the least-squares estimators have smaller bias (in fact zero bias) but larger variances in the long regression than …

Persistent link: https://www.econbiz.de/10010532602

On the weighted least-squares, the ordinary least-squares and the best linear unbiased estimators under a restricted growth curve model

Song, Guang Jing; Wang, Qing Wen - In: Statistical Papers 55 (2014) 2, pp. 375-392

expressions of the weighted least-squares estimators (WLSEs), the ordinary least-squares estimators (OLSEs) and the best linear …

Persistent link: https://www.econbiz.de/10010794869

Spatial System Estimators for Panel Models: A Sensitivity and Simulation Study

Liu, Shuangzhe; Ma, Tiefeng; Polasek, Wolfgang - Rimini Centre for Economic Analysis (RCEA) - 2013

System of panel models are popular models in applied sciences and the question of spatial errors has created the recent demand for spatial system estimation of panel models. Therefore we propose new diagnostic methods to explore if the spatial component will change significantly the outcome of...

Persistent link: https://www.econbiz.de/10010742267

Attitude toward statistic in college students : an empirical study in public university

García-Santillán, Arturo; Venegas-Martínez, Francisco; … - In: Journal of statistical and econometric methods 2 (2013) 1, pp. 43-60

This study aims to measure student’s attitude towards statistics through a model that considers the variables proposed by Auzmendi (1992). Was examined whether the constructs: usefulness, motivation, likeness, confidence and anxiety influence the student's attitude towards statistics. Were...

Persistent link: https://www.econbiz.de/10009769906

Using PC regression for multicollinear model with lagged variable

Elsayir, Habib Ahmed - In: Journal of statistical and econometric methods 2 (2013) 1, pp. 33-41

This paper aims at identifying a most frequently multivariate technique,Principal Components Analysis (PCA), to solve a multicollinear single equation econometric model .results of the method used were compared to Ordinary Least Squares (OLS) and(Two Stages Least Squares (2SLS) to see if...

Persistent link: https://www.econbiz.de/10009769907

Spatial system estimators for panel models: A sensitivity and simulation study

Liu, Shuangzhe; Ma, Tiefeng; Polasek, Wolfgang - 2012

Persistent link: https://www.econbiz.de/10010290995

Spatial System Estimators for Panel Models: A Sensitivity and Simulation Study

Liu, Shuangzhe; Ma, Tiefeng; Polasek, Wolfgang - Department of Economics and Finance Research and … - 2012

Persistent link: https://www.econbiz.de/10010904372

Spatial System Estimators for Panel Models: A Sensitivity and Simulation Study

Liu, Shuangzhe; Ma, Tiefeng; Polasek, Wolfgang - Rimini Centre for Economic Analysis (RCEA) - 2012

Persistent link: https://www.econbiz.de/10010601752