On Estimating Variance Components of Two-Way Nested Random Model with Missing Information

Main Article Content

Amany Mousa Mohammed
Ahmed Amin El-Sheikh
Alaa Sayed Shehata

Abstract

In this paper, the estimators of variance components are derived of two-way nested random model when the problem of missing information exists using combination between Modified Minimum Variance Quadratic Unbiased Estimation (MMIVQUE) and Modified Minimum Variance Quadratic Unbiased Estimation (MMIVQUE (0)) methods that is called MMIV(MIV(0)) method.

Keywords:
MINQUE, missing information, MIVQUE, variance components

Article Details

How to Cite
Mohammed, A., El-Sheikh, A. A., & Shehata, A. (2018). On Estimating Variance Components of Two-Way Nested Random Model with Missing Information. Asian Journal of Probability and Statistics, 2(2), 1-14. https://doi.org/10.9734/ajpas/2018/v2i228777
Section
Original Research Article