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Imputing nonignorable missing data using a data augmentation approach: an application to the estimation of hourly pay distributions

Imputing nonignorable missing data using a data augmentation approach: an application to the estimation of hourly pay distributions
Imputing nonignorable missing data using a data augmentation approach: an application to the estimation of hourly pay distributions
International Statistical Institute
Beissel-Durrant, G.
e359ac74-d283-45d9-b48f-6c4fad0dff0b
Beissel-Durrant, G.
e359ac74-d283-45d9-b48f-6c4fad0dff0b

Beissel-Durrant, G. (2005) Imputing nonignorable missing data using a data augmentation approach: an application to the estimation of hourly pay distributions. In International Statistical Institute : World Statistics Congresses and Proceedings. vol. 55, International Statistical Institute..

Record type: Conference or Workshop Item (Paper)

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More information

Published date: 12 April 2005
Additional Information: Proceedings of the 55th Session of the International Statistical Institue, Sydney, Australia, 5-12 Apr 2005, papers and presentations on this CD-ROM are fully text searchable using functionality included in the Adobe Reader
Venue - Dates: 55th Session of the International Statistical Institute, Sydney, 2005-04-05 - 2005-04-12

Identifiers

Local EPrints ID: 34800
URI: http://eprints.soton.ac.uk/id/eprint/34800
PURE UUID: 615b802e-0a1f-42d3-a2e7-6d40423c41ef

Catalogue record

Date deposited: 17 May 2006
Last modified: 26 Aug 2022 16:39

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Contributors

Author: G. Beissel-Durrant

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