Comparison of predictive mean matching and regression multiple imputation methods using the 2006 Family Income and Expenditure Survey (FIES)

Comparison of predictive mean matching and regression multiple imputation methods using the 2006 Family Income and Expenditure Survey (FIES)

This study used the 2006 Family Income and Expenditure Survey (FIES) data of the National Capital Region (NCR) in comparing the two multiple imputation methods predictive mean matching method and regression method. The effects of varying nonresponse rates were also investigated. The mean deviation,...

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Main Author: Hao, Mason Francis T.
Format: text
Language:English
Published: Animo Repository 2010
Subjects:
Multiple imputation (Statistics)
Statistical matching
Regression analysis
Cost and standard of living > Philippines > Statistics
Physical Sciences and Mathematics
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/2443
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-3443
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-34432021-06-28T02:07:55Z Comparison of predictive mean matching and regression multiple imputation methods using the 2006 Family Income and Expenditure Survey (FIES) Hao, Mason Francis T. This study used the 2006 Family Income and Expenditure Survey (FIES) data of the National Capital Region (NCR) in comparing the two multiple imputation methods predictive mean matching method and regression method. The effects of varying nonresponse rates were also investigated. The mean deviation, mean absolute deviation, bias, and the root mean square deviation were the criteria used in determining the better multiple imputation method. Results showed that the predictive mean matching method is better than the regression method. 2010-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/2443 Bachelor's Theses English Animo Repository Multiple imputation (Statistics) Statistical matching Regression analysis Cost and standard of living--Philippines--Statistics Physical Sciences and Mathematics
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Multiple imputation (Statistics)
Statistical matching
Regression analysis
Cost and standard of living--Philippines--Statistics
Physical Sciences and Mathematics
spellingShingle Multiple imputation (Statistics)
Statistical matching
Regression analysis
Cost and standard of living--Philippines--Statistics
Physical Sciences and Mathematics
Hao, Mason Francis T.
Comparison of predictive mean matching and regression multiple imputation methods using the 2006 Family Income and Expenditure Survey (FIES)
description This study used the 2006 Family Income and Expenditure Survey (FIES) data of the National Capital Region (NCR) in comparing the two multiple imputation methods predictive mean matching method and regression method. The effects of varying nonresponse rates were also investigated. The mean deviation, mean absolute deviation, bias, and the root mean square deviation were the criteria used in determining the better multiple imputation method. Results showed that the predictive mean matching method is better than the regression method.
format text
author Hao, Mason Francis T.
author_facet Hao, Mason Francis T.
author_sort Hao, Mason Francis T.
title Comparison of predictive mean matching and regression multiple imputation methods using the 2006 Family Income and Expenditure Survey (FIES)
title_short Comparison of predictive mean matching and regression multiple imputation methods using the 2006 Family Income and Expenditure Survey (FIES)
title_full Comparison of predictive mean matching and regression multiple imputation methods using the 2006 Family Income and Expenditure Survey (FIES)
title_fullStr Comparison of predictive mean matching and regression multiple imputation methods using the 2006 Family Income and Expenditure Survey (FIES)
title_full_unstemmed Comparison of predictive mean matching and regression multiple imputation methods using the 2006 Family Income and Expenditure Survey (FIES)
title_sort comparison of predictive mean matching and regression multiple imputation methods using the 2006 family income and expenditure survey (fies)
publisher Animo Repository
publishDate 2010
url https://animorepository.dlsu.edu.ph/etd_bachelors/2443
_version_ 1772834586887192576

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