>
Fa   |   Ar   |   En
   IMPUTATION OF MISSING DATA WITH DIFFERENT MISSINGNESS MECHANISM  
   
نویسنده KANG HO MING ,YUSOF FADHILAH ,MOHAMAD ISMAIL
منبع jurnal teknologi - 2012 - دوره : 57 - شماره : 1 - صفحه:57 -67
چکیده    His 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.
کلیدواژه Missing data; expectation maximization; mean imputation
آدرس Universiti Teknologi Malaysia, Faculty of Science, Department of Mathematical Sciences, Malaysia, Universiti Teknologi Malaysia, Faculty of Science, Department of Mathematical Sciences, Malaysia, Universiti Teknologi Malaysia, Faculty of Science, Department of Mathematical Sciences, Malaysia
 
     
   
Authors
  
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved