Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Sample Size Determination Using the Stratification Algorithms with the Occurrence of Stratum Jumpers

  • Published : 2004.08.01
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Abstract

In the sample survey for a highly skewed population, stratum jumpers often occur. Stratum jumpers are units having large discrepancies between a stratification variable and a study variable. We propose two models for stratum jumpers: a multiplicative model and a random replacement model. We also consider the modification of the L-H stratification algorithm such that we apply the previous models to L-H algorithm in determination of the sample sizes and the stratum boundaries. We evaluate the performances of the new stratification algorithms using real data. The result shows that L-H algorithm for the random replacement model outperforms other algorithms since the estimator has the least coefficient of variation.

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References

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