Article citationsMore>>

Sidik, K. and Jonkman, J.N. (2006) Robust Variance Estimation for Random Effects Meta-Analysis. Computational Statistics & Data Analysis, 50, 3681-3701.
https://doi.org/10.1016/j.csda.2005.07.019

has been cited by the following article:

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

  AUTHORS: Perović Gligorije

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

  JOURNAL NAME: Open Journal of Statistics, Vol.10 No.4, August 4, 2020

  ABSTRACT: 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.