Statistical Science

Comment: Struggles with Survey Weighting and Regression Modeling

Robert M. Bell and Michael L. Cohen

Full-text: Open access

Article information

Source
Statist. Sci., Volume 22, Number 2 (2007), 165-167.

Dates
First available in Project Euclid: 27 September 2007

Permanent link to this document
https://projecteuclid.org/euclid.ss/1190905512

Digital Object Identifier
doi:10.1214/088342307000000177

Mathematical Reviews number (MathSciNet)
MR2408952

Zentralblatt MATH identifier
1246.62031

Citation

Bell, Robert M.; Cohen, Michael L. Comment: Struggles with Survey Weighting and Regression Modeling. Statist. Sci. 22 (2007), no. 2, 165--167. doi:10.1214/088342307000000177. https://projecteuclid.org/euclid.ss/1190905512


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References

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  • Hastie, T., Tibshirani, R. and Friedman, J. (2001). The Elements of Statistical Learning. Data Mining, Inference and Prediction. Springer, New York.
  • Kish, L. (1965). Survey Sampling. Wiley, New York.
  • Korn, E. L. and Graubard, B. I. (1995). Examples of differing weighted and unweighted estimates from a sample survey. Amer. Statist. 49 291--295.
  • Little, R. J. A. (2004). To model or not to model? Competing modes of inference for finite population sampling. J. Amer. Statist. Assoc. 99 546--556.
  • Pfeffermann, D. and Sverchkov, M. (1999). Parametric and semi-parametric estimation of regression models fitted to survey data. Sankhyā Ser. B 61 166--186.