PEROBVC Estimating Method
DOI:
https://doi.org/10.9734/bpi/rdst/v5/2296BKeywords:
GPS, Non-Homogeneous Sets of Empirical Variances, PERG Mixed Distribution of Empirical Variances, Robust Variance Components Estimation – Perobvc MethodAbstract
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.
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
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