scholarly journals Model checks for nonparametric regression with missing data: a comparative study

2016 ◽  
Vol 86 (16) ◽  
pp. 3188-3204 ◽  
Author(s):  
T. R. Cotos-Yáñez ◽  
A. Pérez-González ◽  
W. González-Manteiga
Keyword(s):  
Missing Data ◽  
Comparative Study ◽  
Nonparametric Regression

PREDICTIVE MODELING WITH MISSING DATA USING AN AUTOMATIC RELEVANCE DETERMINATION ENSEMBLE: A COMPARATIVE STUDY

2012 ◽  
Vol 26 (10) ◽  
pp. 967-984 ◽  
Author(s):  
Mlungisi Duma ◽  
Bhekisipho Twala ◽  
Fulufhelo Nelwamondo ◽  
Tshilidzi Marwala
Keyword(s):  
Missing Data ◽  
Comparative Study ◽  
Predictive Modeling ◽  
Automatic Relevance Determination

scholarly journals Comparative Study of Imputation Algorithms Applied to the Prediction of Student Performance

2019 ◽  
Vol 28 (1) ◽  
pp. 58-70 ◽  
Author(s):  
Concepción Crespo-Turrado ◽  
José Luis Casteleiro-Roca ◽  
Fernando Sánchez-Lasheras ◽  
José Antonio López-Vázquez ◽  
Francisco Javier De Cos Juez ◽  
...  
Keyword(s):  
Missing Data ◽  
Comparative Study ◽  
Student Performance ◽  
Data Imputation ◽  
Education Systems ◽  
Missing Data Imputation ◽  
Future Analysis ◽  
Predicted Values ◽  
High Level

Abstract Student performance and its evaluation remain a serious challenge for education systems. Frequently, the recording and processing of students’ scores in a specific curriculum have several flaws for various reasons. In this context, the absence of data from some of the student scores undermines the efficiency of any future analysis carried out in order to reach conclusions. When this is the case, missing data imputation algorithms are needed. These algorithms are capable of substituting, with a high level of accuracy, the missing data for predicted values. This research presents the hybridization of an algorithm previously proposed by the authors called adaptive assignation algorithm (AAA), with a well-known technique called multivariate imputation by chained equations (MICE). The results show how the suggested methodology outperforms both algorithms.

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