Advances in estimation by the item sum technique using auxiliary information in complex surveys-Reference-Cited by-同舟云学术

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Advances in estimation by the item sum technique using auxiliary information in complex surveys

Published:2017-12-09 Issue:3 Volume:102 Page:455-478
ISSN:1863-8171
Container-title:AStA Advances in Statistical Analysis
language:en
Short-container-title:AStA Adv Stat Anal

Author:

Rueda María del Mar García,Perri Pier Francesco^ORCID,Cobo Beatriz Rodríguez

Funder

Ministerio de Economía y Competitividad of Spain

Ministero dell’Istruzione, dell’Università e della Ricerca

Ministerio de Educación, Cultura y Deporte

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Economics and Econometrics,Social Sciences (miscellaneous),Modeling and Simulation,Statistics and Probability,Analysis

Link

http://link.springer.com/article/10.1007/s10182-017-0315-2/fulltext.html

Reference70 articles.

1. Arcos, A., Rueda, M.M., Singh, S.: Generalized approach to randomized response for quantitative variables. Qual. Quant. 49, 1239–1256 (2015)

2. Arias, A., Sutton, S.G.: Understanding recreational fishers compliance with no-take zones in the Great Barrier Reef Marine Park. Ecol. Soc. (2013). https://doi.org/10.5751/ES-05872-180418

3. Arnab, R., Singh, S.: Randomized response techniques: an application to the Botswana AIDS impact survey. J. Stat. Plan. Inference 140, 941–953 (2010)

4. Aronow, P.M., Coppock, A., Crawford, F.W., Green, D.P.: Combining list experiment and direct question estimates of sensitive behavior prevalence. J. Surv. Stat. Methodol. 3, 43–66 (2015)

5. Bar-Lev, S.K., Bobovitch, E., Boukai, B.: A note on randomized response models for quantitative data. Metrika 60, 255–260 (2004)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Variance jackknife estimation for randomized response surveys: A simulation study and an application to explore cheating in exams and bullying;Computational and Mathematical Methods;2020-05

2. Calibration estimators for quantitative sensitive mean estimation under successive sampling;Communications in Statistics - Theory and Methods;2019-08-10

3. Item sum techniques for quantitative sensitive estimation on successive occasions;Communications for Statistical Applications and Methods;2019-03-31

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