Robust doubly protected estimators for quantiles with missing data
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2019/11/21
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Journal
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Indian UGC (journal)
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Refrences29
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Mariela Sued
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Marina Valdora ORCID (unauthenticated)
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Víctor Yohai
Cite
Sued, Mariela, et al. “Robust Doubly Protected Estimators for Quantiles With Missing Data”. TEST, vol. 29, no. 3, 2019, pp. 819-43, https://doi.org/10.1007/s11749-019-00689-9.
Sued, M., Valdora, M., & Yohai, V. (2019). Robust doubly protected estimators for quantiles with missing data. TEST, 29(3), 819-843. https://doi.org/10.1007/s11749-019-00689-9
Sued, Mariela, Marina Valdora, and Víctor Yohai. “Robust Doubly Protected Estimators for Quantiles With Missing Data”. TEST 29, no. 3 (2019): 819-43. https://doi.org/10.1007/s11749-019-00689-9.
Sued M, Valdora M, Yohai V. Robust doubly protected estimators for quantiles with missing data. TEST. 2019;29(3):819-43.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Robust inference for nonlinear regression models | TEST |
| 7 | 2019 |
| High breakdown point robust estimators with missing data | Communications in Statistics - Theory and Methods |
| 1 | 2018 |
Robust location estimation with missing data | Canadian Journal of Statistics |
| 9 | 2013 |
Causal Inference on Quantiles with an Obstetric Application | Biometrics |
| 26 | 2012 |
| Robust estimates in generalized partially linear single-index models | TEST |
| 12 | 2012 |
Refrences Analysis
The category
Science: Mathematics: Probabilities. Mathematical statistics 18
is the most frequently represented among the references in this article. It primarily includes studies from Journal of the American Statistical Association and TEST. The chart below illustrates the number of referenced publications per year.