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Model‐Based Confidence Intervals in Multipurpose Surveys

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  • R. Dunstan
  • R. L. Chambers

Abstract

The problem of calculating confidence intervals for finite population totals estimated using the ridge weighting procedure of Bardsley and Chambers (1984) is considered, and a robust model‐based method proposed. Some empirical evidence on the performance of the method is provided. This shows the model‐based approach is superior to more conventional methods of confidence interval estimation in this situation.

Suggested Citation

  • R. Dunstan & R. L. Chambers, 1986. "Model‐Based Confidence Intervals in Multipurpose Surveys," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 35(3), pages 276-280, November.
    • Handle: RePEc:bla:jorssc:v:35:y:1986:i:3:p:276-280
    DOI: 10.2307/2348027
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