Amputation versus imputation of missing values through ratio method in sample surveys
Author
Abstract
Suggested Citation
DOI: 10.1007/s00362-006-0009-4
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
- M. Rueda & S. González, 2004. "Missing data and auxiliary information in surveys," Computational Statistics, Springer, vol. 19(4), pages 551-567, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Amer Al-Omari & Carlos Bouza & Carmelo Herrera, 2013. "Imputation methods of missing data for estimating the population mean using simple random sampling with known correlation coefficient," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(1), pages 353-365, January.
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.
- M. Rueda & S. González & A. Arcos, 2007. "A Predictive Estimator of the Mean with Missing Data," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(2), pages 201-217, April.
- 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.
More about this item
Keywords
Missing data; Ratio method; Imputation; Amputation;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:stpapr:v:49:y:2008:i:2:p:237-247. 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.