Universiti Teknologi Malaysia Institutional Repository

Imputation of missing data with different missingness mechanism

Ho, Ming Kang and Yusof, Fadhilah and Mohamad, Ismail (2012) Imputation of missing data with different missingness mechanism. Jurnal Teknologi (Sciences and Engineering), 57 (SUP. 1). pp. 57-67. ISSN 0127-9696

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Official URL: https://jurnalteknologi.utm.my/index.php/jurnaltek...

Abstract

This paper presents a study on the estimation of missing data. Data samples with different missingness mechanism namely Missing Completely At Random (MCAR), Missing At Random (MAR) and Missing Not At Random (MNAR) are simulated accordingly. Expectation maximization (EM) algorithm and mean imputation (MI) are applied to these data sets and compared and the performances are evaluated by the mean absolute error (MAE) and root mean square error (RMSE). The results showed that EM is able to estimate the missing data with minimum errors compared to mean imputation (MI) for the three missingness mechanisms. However the graphical results showed that EM failed to estimate the missing values in the missing quadrants when the situation is MNAR.

Item Type:Article
Uncontrolled Keywords:missing data, expectation maximization, mean imputation
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Science
ID Code:47093
Deposited By: Narimah Nawil
Deposited On:22 Jun 2015 05:56
Last Modified:31 Mar 2019 08:31

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