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- Horvitz–Thompson_estimator abstract "In statistics, the Horvitz–Thompson estimator, named after Daniel G. Horvitz and Donovan J. Thompson, is a method for estimating the total and mean of a superpopulation in a stratified sample. Inverse probability weighting is applied to account for different proportions of observations within strata in a target population. The Horvitz–Thompson estimator is frequently applied in survey analyses and can be used to account for missing data.".
- Horvitz–Thompson_estimator wikiPageID "28014764".
- Horvitz–Thompson_estimator wikiPageRevisionID "603108060".
- Horvitz–Thompson_estimator subject Category:Missing_data.
- Horvitz–Thompson_estimator subject Category:Sampling_(statistics).
- Horvitz–Thompson_estimator subject Category:Survey_methodology.
- Horvitz–Thompson_estimator comment "In statistics, the Horvitz–Thompson estimator, named after Daniel G. Horvitz and Donovan J. Thompson, is a method for estimating the total and mean of a superpopulation in a stratified sample. Inverse probability weighting is applied to account for different proportions of observations within strata in a target population. The Horvitz–Thompson estimator is frequently applied in survey analyses and can be used to account for missing data.".
- Horvitz–Thompson_estimator label "Horvitz–Thompson estimator".
- Horvitz–Thompson_estimator sameAs Horvitz%E2%80%93Thompson_estimator.
- Horvitz–Thompson_estimator sameAs Q17027597.
- Horvitz–Thompson_estimator sameAs Q17027597.
- Horvitz–Thompson_estimator wasDerivedFrom Horvitz–Thompson_estimator?oldid=603108060.