Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Item sum techniques for quantitative sensitive estimation on successive occasions

  • Priyanka, Kumari (Department of Mathematics, Shivaji College, University of Delhi) ;
  • Trisandhya, Pidugu (Department of Mathematics, Shivaji College, University of Delhi)
  • Received : 2018.10.04
  • Accepted : 2019.01.31
  • Published : 2019.03.31
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Abstract

The problem of the estimation of quantitative sensitive variable using the item sum technique (IST) on successive occasions has been discussed. IST difference, IST regression, and IST general class of estimators have been proposed to estimate quantitative sensitive variable at the current occasion in two occasion successive sampling. The proposed new estimators have been elaborated under Trappmann et al. (Journal of Survey Statistics and Methodology, 2, 58-77, 2014) as well as Perri et al. (Biometrical Journal, 60, 155-173, 2018) allocation designs to allocate long list and short list samples of IST. The properties of all proposed estimators have been derived including optimum replacement policy. The proposed estimators have been mutually compared under the above mentioned allocation designs. The comparison has also been conducted with a direct method. Numerical applications through empirical as well as simplistic simulation has been used to show how the illustrated IST on successive occasions may venture in practical situations.

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References

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