Comparing Some Methods For A single Imputed A missing Observation In Estimating Nonparametric Regression Function
DOI:
https://doi.org/10.33095/jeas.v15i53.1209Keywords:
Comparison of single-value compensation methodsLost to the model of the regressionAbstract
In this paper, we will study non parametric model when the response variable have missing data (non response) in observations it under missing mechanisms MCAR, then we suggest Kernel-Based Non-Parametric Single-Imputation instead of missing value and compare it with Nearest Neighbor Imputation by using the simulation about some difference models and with difference cases as the sample size, variance and rate of missing data.
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