期刊文献+

Robust Variance Components Estimation in the PERG Mixed Distributions of Empirical Variances—PEROBVC Method

Robust Variance Components Estimation in the PERG Mixed Distributions of Empirical Variances—PEROBVC Method
下载PDF
导出
摘要 A mixed distribution of empirical variances, composed of two distributions the basic and contaminating ones, and referred to as PERG mixed distribution of empirical variances, is considered. In the paper a robust inverse problem solution is given, namely a (new) robust method for estimation of variances of both distributions—PEROBVC Method, as well as the estimates for the numbers of observations for both distributions and, in this way also the estimate of contamination degree. A mixed distribution of empirical variances, composed of two distributions the basic and contaminating ones, and referred to as PERG mixed distribution of empirical variances, is considered. In the paper a robust inverse problem solution is given, namely a (new) robust method for estimation of variances of both distributions—PEROBVC Method, as well as the estimates for the numbers of observations for both distributions and, in this way also the estimate of contamination degree.
作者 Perović Gligorije Perović Gligorije(Department of Geodesy and Geoinformatics, Faculty of Civil Engineering, University of Belgrade, Belgrade, Serbia)
出处 《Open Journal of Statistics》 2020年第4期640-650,共11页 统计学期刊(英文)
关键词 Non-Homogeneous Sets of Empirical Variances PERG Mixed Distribution of Empirical Variances Robust Variance Components Estimation—PEROBVC Method Non-Homogeneous Sets of Empirical Variances PERG Mixed Distribution of Empirical Variances Robust Variance Components Estimation—PEROBVC Method
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部