VARIANCE ESTIMATION FOR NEAREST NEIGHBOR IMPUTATION FOR US CENSUS LONG FORM DATA

Cited 5 time in webofscience Cited 0 time in scopus
  • Hit : 366
  • Download : 0
Variance estimation for estimators of state, county, and school district quantities derived from the Census 2000 long form are discussed. The variance estimator must account for (1) uncertainty due to imputation, and (2) raking to census population controls. An imputation procedure that imputes more than one value for each missing item using donors that are neighbors is described and the procedure using two nearest neighbors is applied to the Census long form. The Kim and Fuller [Biometrika 91 (2004) 559-578] method for variance estimation under fractional hot deck imputation is adapted for application to the long form data. Numerical results from the 2000 long form data are presented
Publisher
INST MATHEMATICAL STATISTICS
Issue Date
2011-06
Language
English
Article Type
Article
Keywords

HOT DECK IMPUTATION

Citation

ANNALS OF APPLIED STATISTICS, v.5, no.2A, pp.824 - 842

ISSN
1932-6157
DOI
10.1214/10-AOAS419
URI
http://hdl.handle.net/10203/212939
Appears in Collection
MA-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 5 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0