一种结合PLS和贝叶斯方法估计结构方程模型的混合方法

IF 0.6 Q4 STATISTICS & PROBABILITY

Electronic Journal of Applied Statistical Analysis Pub Date : 2018-10-14 DOI:10.1285/I20705948V11N2P577

Ahmed Quazza, R. Noureddine, Zarrouk Zoubir

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引用次数: 5

摘要

本文的目的是提供一种结合偏最小二乘法和贝叶斯方法的混合方法来估计结构方程模型。该方法的主要优点是克服了贝叶斯方法的正态性假设。在模拟和实际数据上的应用结果表明，我们提出的方法在标准误差方面优于PLS和贝叶斯方法。

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A hybrid method combining the PLS and the Bayesian approaches to estimate the Structural Equation Models

The purpose of this paper is to provide a hybrid method combining the Partial Least Squares and the Bayesian approaches to estimate the Structural Equation Models. The aim advantage of this new method is to overcome the assumption of normality that is required in Bayesian approach. The results obtained from an application on simulated and on real data show that our proposed method outperforms both PLS and Bayesian approaches in terms of standard errors.

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来源期刊

Electronic Journal of Applied Statistical Analysis STATISTICS & PROBABILITY-

CiteScore

1.40

自引率

14.30%

发文量