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A Monte Carlo Study of Single Imputation in Survey Sampling
Örebro University, Örebro University School of Business.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Missing values in sample survey can lead to biased estimation if not treated. Imputation was posted asa popular way to deal with missing values. In this paper, based on Särndal (1994, 2005)’s research, aMonte-Carlo simulation is conducted to study how the estimators work in different situations and howdifferent imputation methods work for different response distributions.

Place, publisher, year, edition, pages
2013. , 76 p.
Keyword [en]
missing data; nonresponse; imputation; simulation; estimator
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:oru:diva-30541OAI: oai:DiVA.org:oru-30541DiVA: diva2:644465
Subject / course
Statistik
Presentation
2013-06-05, Örebro University, Örebro, 13:13 (English)
Supervisors
Examiners
Available from: 2013-10-11 Created: 2013-08-30 Last updated: 2017-10-17Bibliographically approved

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A Monte Carlo Study of Single Imputation in Survey Sampling(687 kB)68 downloads
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Örebro University School of Business
Probability Theory and Statistics

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CiteExportLink to record
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  • apa
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