Use simulation to estimate the missing value for some designs

Abstract

The aim of this research is to study the issue of estimating the processing of missing data, aiming to solve one of the problems facing researchers, as the treatment and estimation of unit values in different experiments that include missing or mixed values is of great importance, and our aim is to identify the best methods in which it is done. Estimation leads to accurate testing. The research included a presentation of some methods of estimating the missing values for most of the experimental designs, and included the applied side, which contained different experiments. The research also included conclusions and recommendations.