PEROBVC Estimating Method

Authors

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

DOI:

https://doi.org/10.9734/bpi/rdst/v5/2296B

Keywords:

GPS, Non-Homogeneous Sets of Empirical Variances, PERG Mixed Distribution of Empirical Variances, Robust Variance Components Estimation – Perobvc Method

Abstract

A sequence of empirical variances have often appeared as a mixture of two or more sequences of empirical variances. These sequences have different distributions. Then a problem how to estimate the variance of basic distribution arises. 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.

   

Author Biography

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

 

 

Published

2022-05-17

How to Cite

G. Perovic. (2022). PEROBVC Estimating Method. Research Developments in Science and Technology Vol. 5, 127–139. https://doi.org/10.9734/bpi/rdst/v5/2296B