International Science Community AssociationResearch Journal of Mathematical and Statestical Sciences2320 - 60477120190112Estimation of variance components in one-way random model with completely missing information716ENChooAli 1School of Science, Department of Probability and mathematical Statistics Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, P.R., ChinaFengYu 2School of Science, Department of Probability and mathematical Statistics Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, P.R., ChinaAliZamir 3School of Science, Department of Probability and mathematical Statistics Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, P.R., ChinaAli Munsir 4School of Science, Department of Probability and mathematical Statistics Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, P.R., ChinaMohammedAmany Mousa 1Department of Applied Statistics and Econometrics, Institute of Statistical Studies and Research, Cairo University, EgyptEl-SheikhAhmed Amin 2Department of Applied Statistics and Econometrics, Institute of Statistical Studies and Research, Cairo University, EgyptShehata Alaa Sayed 3Department of Applied Statistics and Econometrics, Institute of Statistical Studies and Research, Cairo University, Egypt>
Research Article2018111020190112In this paper, the estimators of variance components are derived of one-way random model when the problem of missing information exists using combination between Modified Minimum Variance Quadratic Unbiased Estimation (MMIVQUE) and Analysis of Variance (ANOVA) methods that is called MMIV (ANOVA) method.Copyright@ International Science Community Association