下载中心

下载中心

2017

2017 Stu G: Multiple linear regression with correlated explanatory variables and responses

时间:2019年11月25日 作者: 点击数:

  • 2017 Stu G: Multiple linear regression with correlated explanatory variables and responses

  • Fang Xing, Li Bofeng, Wang Miaomiao, Alkhatib Hamza, Zeng Wenxian, Yao Yibin
    We discuss the Bayesian inference based on the Errors-In-Variables (EIV) model. The proposed estimators are developed not only for the unknown parameters but also for the variance factor with or without prior information. The proposed Total Least-Squares (TLS) estimators of the unknown parameter are deemed as the quasi Least-Squares (LS) and quasi maximum a posterior (MAP) solution. In addition, the variance factor of the EIV model is proven to be always smaller than the variance factor of the traditional linear model. A numerical example demonstrates the performance of the proposed solutions.  

  •  

Copyright@同济大学GNSS研究团队 ALL Rights Reserved

您是本站的第位访客

关注公众号