Comparison of Multiple Regression and Model Averaging Model-Building Approach for Missing Data with Multiple Imputation

QR Code

Comparison of Multiple Regression and Model Averaging Model-Building Approach for Missing Data with Multiple Imputation

Model construction is of significant importance for the extraction of information from datasets and the prediction of responses based on predictor variables. The objective of this study is to compare the Multiple Regression (MR) and model averaging approaches in the context of missing data and to va...

Full description

Bibliographic Details
Published in:	Engineering, Technology and Applied Science Research
Main Author:	Abdullah M.A.A.; Jessintha L.; Khuneswari G.P.; Jamil S.A.M.; Olaniran O.R.
Format:	Article
Language:	English
Published:	Dr D. Pylarinos 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211465762&doi=10.48084%2fetasr.8909&partnerID=40&md5=5d6d424469343797eb04c458990d1c96

Similar Items

A comparison of model-based imputation methods for handling missing predictor values in a linear regression model: A simulation study
by: Hasan H.; Ahmad S.; Osman B.M.; Sapri S.; Othman N.
Published: (2017)

Preliminary study on multiple imputation for nonresponse in survey data with feature selection
by: Jasin A.M.; Asmat A.
Published: (2023)

THE EFFECT OF SECURITY IN THE GREEN BUILDING PRICE PREDICTION MODEL: A COMPARISON BETWEEN MULTIPLE LINEAR REGRESSION AND MACHINE LEARNING APPROACHES
by: Mohd T.; Masrom S.; Jamil N.S.; Harussani M.
Published: (2024)

Time Series Data and Recent Imputation Techniques for Missing Data: A Review
by: Zainuddin A.; Hairuddin M.A.; Yassin A.I.M.; Latiff Z.I.A.; Azhar A.
Published: (2022)

Comparison of single and mice imputation methods for missing values: A simulation study
by: Pauzi N.A.M.; Wah Y.B.; Deni S.M.; Rahim S.K.N.A.; Suhartono
Published: (2021)

The Effect of Occupant in Energy Consumption Prediction via Multiple Linear Regression Model in an Educational Building
by: Mustapa R.F.; Nordin A.H.M.; Hairuddin M.A.; Mahadan M.E.; Dahlan N.Y.; Yassin I.M.
Published: (2024)

The Effect of Occupant in Energy Consumption Prediction via Multiple Linear Regression Model in an Educational Building
by: Mustapa, et al.
Published: (2024)

Missing data imputation of MAGDAS-9’s ground electromagnetism with supervised machine learning and conventional statistical analysis models
by: H. M.A.; K.A. N.D.; Md Tahir N.; Iffah Abd Latiff Z.; Huzaimy Jusoh M.; Akimasa Y.
Published: (2022)

Missing River Discharge Data Imputation Approach using Artificial Neural Network
by: Mispan M.R.; Rahman N.F.A.; Ali M.F.; Khalid K.; Bakar M.H.A.; Haron S.H.
Published: (2015)

Assessing the Multiple Imputation Approach for Univariate Time Series Data of Geomagnetic Disturbance Event in Solar Cycle 24
by: Zainuddin A.; Hairuddin M.A.; Jusoh M.H.; Hashim M.H.; Benavides I.F.; Yassin A.I.M.
Published: (2023)

Multiple Linear Regression Model for Total Bed Material Load Prediction
by: Sinnakaudan S.K.; Ghani A.A.; Ahmad M.S.; Zakaria N.A.
Published: (2006)

Comparison of solar radiation intensity forecasting using ANFIS and multiple linear regression methods
by: Suyono H.; Hasanah R.N.; Setyawan R.A.; Mudjirahardjo P.; Wijoyo A.; Musirin I.
Published: (2018)

MULTIPLE LINEAR REGRESSION MODELLING FOR THE COMPACTION CHARACTERISTICS OF SEDIMENTARY SOIL MIXED BENTONITE AS COMPACTED LINER
by: Khalid N.; Mukri M.; Zain N.M.; Razak Z.; Jais I.M.
Published: (2023)

Estimation of missing values in air pollution dataset by using various imputation methods
by: Sukatis F.F.; Noor N.M.; Zakaria N.A.; Ul-Saufie A.Z.; Suwardi A.
Published: (2019)

Predicting particulate matter (PM2.5) in Malaysia using Multiple Linear Regression and Artificial Neural Network
by: Sobri N.M.; Wan Yaacob W.F.; Ismail N.A.; Malik M.A.A.; Rahman R.A.; Baser N.A.; Sukhairi S.A.M.
Published: (2021)

Different Approaches of Multiple Linear Regression (MLR) Model in Predicting Ozone (O3) Concentration in Industrial Area
by: Napi N.N.L.M.; Abdullah S.; Mansor A.A.; Ghazali N.A.; Ahmed A.N.; Dom N.C.; Ismail M.
Published: (2023)

Simulating the Upcoming Trend of Malaysia’s Unemployment Rate Using Multiple Linear Regression
by: Mohamad Adib N.S.Y.; Mohd Ibrahim A.A.; Abdul Halim M.H.
Published: (2021)

Comparisons of imputation methods on different types of survey research data: A continuous variable
by: Rahman H.A.A.; Hidayat T.; Rahman A.A.; Razif A.M.
Published: (2024)

Factors that lead to misbehaviour in class according to students' perception at UiTM Seremban 3 using Multiple Linear Regression (MLR) analysis
by: Saharizan M.D.; Sam M.M.M.; Kahar N.S.M.; Yasin Z.A.M.M.
Published: (2021)

Multiple Linear Regression on Ultra-Low Frequency (ULF) and Solar Wind for Earthquake Precursor Purposes
by: Umar, et al.
Published: (2023)

The performance of diagnostic-robust generalized potentials for the identification of multiple high leverage points in linear regression
by: Habshah M.; Norazan M.R.; Imon A.H.M.R.
Published: (2009)

Malaysian tourism interest forecasting using Nonlinear Auto-Regressive Moving Average (NARMA) model
by: Kadir S.N.; Tahir N.M.; Yassin I.M.; Zabidi A.
Published: (2014)

Predicting of the physique performance and accuracy of college students based on multiple linear regression and BP neural network
by: Huang X.; Sulaiman M.S.B.; Rosli M.M.; Binchun J.
Published: (2023)

Imputation Analysis for Time Series Air Quality (PM10) Data Set: A Comparison of Several Methods
by: Shaadan N.; Rahim N.A.M.
Published: (2019)

A stepwise logistic regression analysis: An application toward poultry farm data in Johor
by: Jamil S.A.M.; Abdullah M.A.A.; Long K.S.; Jupri N.F.M.; Mamat M.
Published: (2018)

An Analysis on Cost and Income Prediction System Using Multiple Linear Regression and Business Intelligence for Entrepreneur in Fruit Crop
by: Mishan M.T.; Amir A.L.; Salleh N.M.
Published: (2024)

Artificial Neural Network non-linear auto regressive moving average (NARMA) model for internet traffic prediction
by: Sahrani M.N.; Zan M.M.M.; Yassin I.M.; Zabidi A.; Ali M.S.A.M.
Published: (2017)

MODELLING THE STUDENTS' PERCEPTION TOWARDS ENTREPRENEURSHIP IN HIGHER EDUCATIONAL INSTITUTION USING MULTIPLE LINEAR REGRESSION MODEL; [Memodel Persepsi Pelajar Terhadap Keusahawanan di Institusi Pengajian Tinggi Menggunakan Model Regresi Linear Berganda]
by: Abdullah N.A.; Jusoff M.K.S.; Kadir S.A.; Hamzah N.H.; Ibrahim N.S.; Ibrahim N.B.
Published: (2021)

Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks
by: Rehman M.A.; Abd Rahman N.; Ibrahim A.N.H.; Kamal N.A.; Ahmad A.
Published: (2024)

Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks
by: Rehman, et al.
Published: (2024)

MODELLING THE RETIREMENT PLANNING AMONG STAFF IN A PUBLIC UNIVERSITY BY USING MULTIPLE LINEAR REGRESSION; [Pemodelan Perancangan Persaraan Dikalangan Kakitangan di Sebuah Universiti Awam dengan Menggunakan Model Regresi Linear Berganda]
by: Rahman A.F.B.A.; Fekri W.N.F.W.A.; Fauzi N.Z.M.; Zukri S.M.; Hamzah N.H.
Published: (2022)

Validation hybrid filter detection for Multi-User multiple input multiple output F-OFDM by Universal software radio Peripheral
by: Algriree W.; alsheakh H.; Sulaiman N.; Isa M.; K. Z. Sahbudin R.; L. M. Hassan S.; Salman E.H.
Published: (2023)

Multiple-rings filter with dissociated transmission zeros
by: Mohd Salleh M.K.; Prigent G.; Pigaglio O.
Published: (2013)

Do knowledge and personality traits influence women entrepreneurs’ e-commerce venture? Testing on the multiple mediation model
by: Mohd Noor N.H.; Yaacob M.'.; Omar N.
Published: (2024)

Application of functional data analysis for the treatment of missing air quality data
by: Shaadan N.; Deni S.M.; Jemain A.A.
Published: (2015)

Intuitive Multiple Centroid Defuzzification of Intuitionistic Z-Numbers
by: Hakim Nik Badrul Alam N.M.F.; Ku Khalif K.M.N.; Jaini N.I.; Abu Bakar A.S.; Abdullah L.
Published: (2022)

Silent struggles: Parkinson's disease with multiple system atrophy
by: Abd Malek K.
Published: (2024)

Simulation of Multiple Interdigitated Electrode Shapes for Sensor Application
by: Manut A.; Hamzah M.M.; Zoolfakar A.S.; Zolkapli M.
Published: (2024)

Assessing the adequacy of the gompertz regression model in the presence of right censored data
by: Maarof N.N.N.A.; Arasan J.; Zulkafli H.S.; Adam M.B.
Published: (2021)

The Effectiveness of a Probabilistic Principal Component Analysis Model and Expectation Maximisation Algorithm in Treating Missing Daily Rainfall Data
by: Chuan Z.L.; Deni S.M.; Fam S.-F.; Ismail N.
Published: (2020)