Consistency of the Horvitz-Thompson estimator under general sampling and experimental designs
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Publication:2301114
DOI10.1016/j.jspi.2019.12.002zbMath1437.62060OpenAlexW3000500738WikidataQ126345742 ScholiaQ126345742MaRDI QIDQ2301114
Angèle Delevoye, Fredrik Sävje
Publication date: 28 February 2020
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2019.12.002
Density estimation (62G07) Optimal statistical designs (62K05) Sampling theory, sample surveys (62D05)
Cites Work
- Unnamed Item
- Properties of design-based functional principal components analysis
- On the application of probability theory to agricultural experiments. Essay on principles. Section 9. Translated from the Polish and edited by D. M. Dąbrowska and T. P. Speed
- Local polynomial regresssion estimators in survey sampling.
- Endogenous post-stratification in surveys: classifying with a sample-fitted model
- Statistics and Causal Inference
- On the Convergence of the Horvitz-Thompson Estimator
- Some results on generalized difference estimation and generalized regression estimation for finite populations
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Survey Design Under the Regression Superpopulation Model
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
- A Generalization of Sampling Without Replacement From a Finite Universe
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