Analysis of Incomplete Survey Data : Multiple Imputation via Bayesian Bootstrap Predictive Mean Matching
Faculty/Professorship: | Fakultät Sozial- und Wirtschaftswissenschaften: Abschlussarbeiten |
Author(s): | Meinfelder, Florian ![]() |
By: | Koller-Meinfelder, Florian |
Alternative Title: | Analyse unvollständiger Befragungsdaten - Multiple Imputation mittels Bayesian Bootstrap Predictive Mean Matching |
Publisher Information: | Bamberg : opus |
Year of publication: | 2009 |
Pages: | XVII, 145 |
Supervisor(s): | Rässler, Susanne; Raghunathan, Trivellore E. |
Language(s): | English |
Remark: | Bamberg, Univ., Diss., 2009 |
Licence: | German Act on Copyright |
URN: | urn:nbn:de:bvb:473-opus-2251 |
Abstract: | Multiple Imputation (MI) is a general purpose approach to impute partially incomplete data. The proposed method - Bayesian Bootstrap Predictive Mean Matching - is a variant that incorporates the robustifying properties of a nearest neighbour technique (Predictive Mean Matching) into MI. Multiple Imputation (MI) ist ein allgemeiner Ansatz zur Ergänzung fehlender Daten. Die vorgestellte Methode - Bayesian Bootstrap Predictive Mean Matching - ist eine MI-Variante, welche die robustifizierenden Eigenschaften eines Nearest-Neighbour-Verfahrens (Predictive Mean Matching) integriert. |
GND Keywords: | Bayes-Entscheidungstheorie; Bootstrap-Statistik; Imputationstechnik; Online-Publikation; |
Keywords: | Datenergänzung , Multiple Imputation, missing data , multiple imputation , nearest neighbour matching, Datenergänzung, Multiple Imputation, missing data, multiple imputation, nearest neighbour matching |
DDC Classification: | 510 Mathematics |
RVK Classification: | QH 233 |
Type: | Doctoralthesis |
URI: | https://fis.uni-bamberg.de/handle/uniba/213 |
Year of publication: | 25. January 2010 |
Awards: | Promotionspreise der Hans-Löwel-Stiftung |
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originated at the
University of Bamberg
University of Bamberg