article · Quality and Reliability Engineering International · 2014

Combined Analysis of Overlapping Stratified Random Sample and Simple Random Sample Data

Cited by 2Abstract and details only

Abstract

This article provides a methodology to combine overlapping stratified random samples and a simple random sample to estimate subpopulation proportions. That is, all the available data can be used to better estimate the quantities of interest. The methodology based on a Bayesian approach is illustrated with a synthetic data set. WinBUGS code that implements the combined analysis is also presented. Copyright © 2014 John Wiley & Sons, Ltd.

Cite this paper

APA 7

Hamada, M. S., & Ryan, K. J. (2014). Combined Analysis of Overlapping Stratified Random Sample and Simple Random Sample Data. Quality and Reliability Engineering International, 32(1), 309–314. https://doi.org/10.1002/qre.1749

MLA 9

Hamada, Michael S., and Kenneth J. Ryan. “Combined Analysis of Overlapping Stratified Random Sample and Simple Random Sample Data.” Quality and Reliability Engineering International, vol. 32, no. 1, 2014, pp. 309–14, https://doi.org/10.1002/qre.1749.

Chicago

Hamada, Michael S., and Kenneth J. Ryan. 2014. “Combined Analysis of Overlapping Stratified Random Sample and Simple Random Sample Data.” Quality and Reliability Engineering International 32 (1): 309–14. https://doi.org/10.1002/qre.1749.

Harvard

Hamada, M.S. and Ryan, K.J. (2014) ‘Combined Analysis of Overlapping Stratified Random Sample and Simple Random Sample Data’, Quality and Reliability Engineering International, 32(1), pp. 309–314. Available at: https://doi.org/10.1002/qre.1749.

BibTeX

@article{hamada2014combined,
  title = {{Combined Analysis of Overlapping Stratified Random Sample and Simple Random Sample Data}},
  author = {Hamada, Michael S. and Ryan, Kenneth J.},
  journal = {Quality and Reliability Engineering International},
  volume = {32},
  number = {1},
  pages = {309--314},
  year = {2014},
  doi = {10.1002/qre.1749}
}

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