A Predictive Estimator of the Mean with Missing Data
Author
Abstract
Suggested Citation
DOI: 10.1007/s11135-007-9091-5
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Tamás Rudas, 2005. "Mixture Models of Missing Data," Quality & Quantity: International Journal of Methodology, Springer, vol. 39(1), pages 19-36, February.
- M. Rueda & S. González, 2004. "Missing data and auxiliary information in surveys," Computational Statistics, Springer, vol. 19(4), pages 551-567, December.
- Vidal Rada, 2005. "The Effect of Follow-up Mailings on The Response Rate and Response Quality in Mail Surveys," Quality & Quantity: International Journal of Methodology, Springer, vol. 39(1), pages 1-18, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- S. González & M. Rueda & A. Arcos, 2008. "An improved estimator to analyse missing data," Statistical Papers, Springer, vol. 49(4), pages 791-796, October.
- Tobias Gummer & Bella Struminskaya, 2023. "Early and Late Participation during the Field Period: Response Timing in a Mixed-Mode Probability-Based Panel Survey," Sociological Methods & Research, , vol. 52(2), pages 909-932, May.
- Francisco Muñoz-Leiva & Juan Sánchez-Fernández & Francisco Montoro-Ríos & José Ibáñez-Zapata, 2010. "Improving the response rate and quality in Web-based surveys through the personalization and frequency of reminder mailings," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(5), pages 1037-1052, August.
- Rueda, M. & Martinez, S. & Martinez, H. & Arcos, A., 2006. "Mean estimation with calibration techniques in presence of missing data," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3263-3277, July.
- Carlos Bouza, 2009. "Ranked set sampling and randomized response procedures for estimating the mean of a sensitive quantitative character," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 70(3), pages 267-277, November.
- Wojciech Gamrot, 2012. "Estimation of finite population kurtosis under two-phase sampling for nonresponse," Statistical Papers, Springer, vol. 53(4), pages 887-894, November.
- H. Toutenburg & V. Srivastava & Shalabh, 2008. "Amputation versus imputation of missing values through ratio method in sample surveys," Statistical Papers, Springer, vol. 49(2), pages 237-247, April.
More about this item
Keywords
auxiliary information; missing data; prediction approach; fixed model approach; superpopulation model;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:41:y:2007:i:2:p:201-217. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.