Horvitz-thompson Estimation
Horvitz-Thompson Estimation is a statistical method in sampling theory that belongs to the class of weighted estimators, distinguished by its use of inverse selection probabilities to produce unbiased estimates of population totals under unequal probability sampling schemes.
148
Publications
6.7K
Citations
264
Authors
151
Institutions
Publications per year
2017–2026
20
Variants
Horvitz-thompson Estimator
Parents
148
Johan Ugander, Brian Karrer, Lars Bäckström et al. · 2013 · 190 citations
Horvitz-Thompson Estimators for Double-Platform Line Transect Surveys
David L. Borchers, S. T. Buckland, P.W. Goedhart et al. · Biometrics · 1998 · 147 citations
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SUNY College of Environmental Science and Forestry, United States
4 publications · 151 citations
4
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3
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1–5 of 264
151
University of Washington
Seattle, United States
7 h-index
12 publications
813 citations
University of Siena
Siena, Italy
7 h-index
11 publications
276 citations
Oregon State University
Corvallis, United States
6 h-index
6 publications
549 citations

Swedish University of Agricultural Sciences
Uppsala, Sweden
4 h-index
6 publications
379 citations

Johns Hopkins University
Baltimore, United States
3 h-index
3 publications
497 citations

Australian National University
Canberra, Australia
3 h-index
3 publications
53 citations

University of Neuchâtel
Neuchâtel, Switzerland
3 h-index
4 publications
234 citations
SUNY College of Environmental Science and Forestry
Syracuse, United States
3 h-index
3 publications
137 citations
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18 publications · 741 citations
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9 publications · 205 citations
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8 publications · 371 citations
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7 publications · 552 citations
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6 publications · 684 citations
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