Statistical Science

Discussion of “Estimating the Distribution of Dietary Consumption Patterns”

Stephen E. Fienberg and Rebecca C. Steorts

Full-text: Open access

Article information

Source
Statist. Sci., Volume 29, Number 1 (2014), 95-96.

Dates
First available in Project Euclid: 9 May 2014

Permanent link to this document
https://projecteuclid.org/euclid.ss/1399645733

Digital Object Identifier
doi:10.1214/13-STS448

Mathematical Reviews number (MathSciNet)
MR3201851

Zentralblatt MATH identifier
1305.60104

Citation

Fienberg, Stephen E.; Steorts, Rebecca C. Discussion of “Estimating the Distribution of Dietary Consumption Patterns”. Statist. Sci. 29 (2014), no. 1, 95--96. doi:10.1214/13-STS448. https://projecteuclid.org/euclid.ss/1399645733


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References

  • Carroll, R. (2014). Estimating the distribution of dietary consumption patterns. Statist. Sci. 29 2–8.
  • Fienberg, S. (2009). The relevance or irrelevance of weights for confidentiality and statistical analyses. Journal of Privacy and Confidentiality 1 183–195.
  • Gelman, A. (2007). Struggles with survey weighting and regression modeling. Statist. Sci. 22 153–164.
  • Ghosh, M. and Steorts, R. C. (2013). Two-stage Bayesian benchmarking as applied to small area estimation. TEST 22 670–687.
  • Zhang, S., Midthune, D., Guenther, P. M., Krebs-Smith, S. M., Kipnis, V., Dodd, K. W., Buckman, D. W., Tooze, J. A., Freedman, L. and Carroll, R. J. (2011). A new multivariate measurement error model with zero-inflated dietary data, and its application to dietary assessment. Ann. Appl. Stat. 5 1456–1487.

See also

  • Main article: Estimating the Distribution of Dietary Consumption Patterns.