Inference on finite population categorical response: nonparametric regression-based predictive approach-Reference-Cited by-同舟云学术

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Inference on finite population categorical response: nonparametric regression-based predictive approach

Published:2011-05-27 Issue:1 Volume:96 Page:69-98
ISSN:1863-8171
Container-title:AStA Advances in Statistical Analysis
language:en
Short-container-title:AStA Adv Stat Anal

Author:

Adhya Sumanta,Banerjee Tathagata,Chattopadhyay Gaurangadeb

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/content/pdf/10.1007/s10182-011-0159-0.pdf

Reference56 articles.

1. Abe, M.: A generalized additive model for discrete choice data. J. Bus. Econ. Stat. 17, 271–284 (1999)

2. Adhya, S., Banerjee, T., Chattopadhyay, G.: Inference on polychotomous responses in finite population: a predictive approach. (Revised version submitted after minor revision to Scandinavian Journal of Statistics) (2010)

3. Bester, C.A., Hansen, C.: Bias reduction for Bayesian and frequentist estimators (2006)

4. Breidt, F.J., Opsomer, J.D.: Local polynomial regression estimators in survey sampling. Ann. Stat. 28, 1026–1053 (2000)

5. Breidt, F.J., Opsomer, J.D.: Nonparametric and semiparametric estimation in complex surveys. In: Pfeffermann, D., Rao, C.R. (eds.) Handbook of Statistics—Sample Surveys: Inference and Analysis, vol. 29B, pp. 103–120. North Holland, Amsterdam (2009)

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1. Prediction of Finite Population Proportion When Responses Are Misclassified;Journal of Survey Statistics and Methodology;2020-12-25

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