Author(s)

Perović Gligorije

Department of Geodesy and Geoinformatics, Faculty of Civil Engineering, University of Belgrade, Belgrade, Serbia.

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.

Non-Homogeneous Sets of Empirical Variances, PERG Mixed Distribution of Empirical Variances, Robust Variance Components Estimation—PEROBVC Method

Gligorije, P. (2020) Robust Variance Components Estimation in the PERG Mixed Distributions of Empirical Variances—PEROBVC Method. Open Journal of Statistics, 10, 640-650. doi: 10.4236/ojs.2020.104038.