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- Q17027597 subject Q6448882.
- Q17027597 subject Q7690716.
- Q17027597 subject Q8635641.
- Q17027597 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.".
- Q17027597 wikiPageExternalLink survey.
- Q17027597 wikiPageWikiLink Q1170431.
- Q17027597 wikiPageWikiLink Q12483.
- Q17027597 wikiPageWikiLink Q1517706.
- Q17027597 wikiPageWikiLink Q1660484.
- Q17027597 wikiPageWikiLink Q17058619.
- Q17027597 wikiPageWikiLink Q206904.
- Q17027597 wikiPageWikiLink Q301990.
- Q17027597 wikiPageWikiLink Q49908.
- Q17027597 wikiPageWikiLink Q625303.
- Q17027597 wikiPageWikiLink Q6448882.
- Q17027597 wikiPageWikiLink Q6878417.
- Q17027597 wikiPageWikiLink Q7604382.
- Q17027597 wikiPageWikiLink Q7690716.
- Q17027597 wikiPageWikiLink Q784039.
- Q17027597 wikiPageWikiLink Q812534.
- Q17027597 wikiPageWikiLink Q814232.
- Q17027597 wikiPageWikiLink Q8635641.
- Q17027597 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.".
- Q17027597 label "Horvitz–Thompson estimator".