The Effect of Different Imputation Methods on Analytical Statistics of Simple Linear Regression
by Jann-Huei Jinn
.
Abstract:
We have considered the simple linear regression model
where the errors are normally and independently distributed with E( )=0 and Var( )= . Let , and denote the estimates of , , and where "c" indicates that these are estimates from a completed data set. We present the results of a theoretical investigation of the effect that commonly used imputation methods have on the properties of confidence for and . Specifically, we will try to identify "good" imputation procedures and conditions where specific imputation procedures work well.
Key Words:
Simple Linear Regression, Imputation
Authors:
Jann-Huei Jinn,
jinnj@gvsu.edu
Editor:
Ravi Khattree,
Khattree@oakland.edu
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