Results 51 to 60 of about 75,307 (298)
Maximun entropy Leuven estimators and multicollinearity
A novel class of estimators, called maximum entropy Leuven (MEL) estimators, is presented and its performance is illustrated by Monte Carlo experiments. These estimators are inspired by the theory of light.
Quirino Paris
doaj +1 more source
Comparative analysis of chloroplast genomes from 14 genera of Thymelaeaceae revealed variation in gene content, ranging from 128 to 142 genes, primarily influenced by IR expansion/contraction events and pseudogenization of ndhF, ndhI, and ndhG. Two large inversions were detected within the large single‐copy region, including a synapomorphic inversion ...
Abdullah +8 more
wiley +1 more source
Comparison Study Between Two Ways Least Squares and Adaptive Regression In Regression linear model [PDF]
In this research, we use on ( ) and ( ) two criterions to compare between the estimators of Adaptive Regression model and the estimators of Ordinary and General Least Squares, we found that, Adaptive Regression estimator is the best by comparing with ...
doaj +1 more source
Indirect Inference Estimation of Spatial Autoregressions
The ordinary least squares (OLS) estimator for spatial autoregressions may be consistent as pointed out by Lee (2002), provided that each spatial unit is influenced aggregately by a significant portion of the total units.
Yong Bao, Xiaotian Liu, Lihong Yang
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This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst +4 more
wiley +1 more source
Robust continuum regression. [PDF]
Several applications of continuum regression (CR) to non-contaminated data have shown that a significant improvement in predictive power can be obtained compared to the three standard techniques which it encompasses (ordinary least squares (OLS ...
Croux, Christophe +3 more
core +3 more sources
Regression analysis frequently encounters two issues: multicollinearity among the explanatory variables, and the existence of outliers in the data set.
W. B. Altukhaes +2 more
doaj +1 more source
Asymptotic Bias of Ordinary Least Squares Estimator for Multivariate Autoregressive Models [PDF]
Naoto Kunitomo, Taku Yamamoto
core +2 more sources
Instrumental Variable Interpretation of Cointegration with Inference Results for Fractional Cointegration [PDF]
In this paper we propose an alternative characterization of the central notion of cointegration, exploiting the relationship between the autocovariance and the cross-covariance functions of the series.
Aparicio, Felipe M. +2 more
core +3 more sources
Estimation linear non-elementary regression models using ordinary least squares
При построении регрессионных моделей проблема выбора структурной спецификации является первостепенной. На сегодняшний день таких спецификаций разработано великое множество. В данной работе приводится краткое описание следующих форм связи между переменными: линейная регрессия, линейно-элементарная регрессия, линейно-мультипликативная регрессия ...
openaire +1 more source

