Research Article | Open Access | 10.31586/Statistics.0301.02
Missing Value Estimation in a Nested-Factorial Design with Three Factors
Received June 1, 2018
Revised July 20, 2018
Accepted July 24, 2018
Published July 25, 2018
AbstractWhen faced with unbalanced data, it is often necessary to estimate the necessary missing values before the application of the analysis of variance technique. Previous studies have shown that different designs require different missing value estimators. With the introduction of some relatively new statistical designs, it has become expedient to derive missing value estimators for such designs. In this study, least squares estimators of missing values in a three-factor nested-factorial design are derived. Properties of the estimators are equally determined. A numerical example is given to show the application of the theoretical results obtained in this paper. Our empirical results establish the appropriateness of the missing value estimation method presented in this study.
Keywords: Nested-Factorial design, non-iterative least squares estimation, bias, analysis of variance, missing valu
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