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The effect of weight function on hypothesis testing in weighted sampling

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  • Maryam Karimi
  • Sayed Mohammad Reza Alavi

Abstract

In this paper the problem of statistical hypothesis testing under weighted sampling is considered for obtaining the most powerful test. Some simulated powers of tests, using the Monte Carlo method, are performed. Using a convenient sample of the specialist physicians of Social Security Organization of Ahvaz in Iran, two weighted samplings versus random sampling are tested. Among the three mentioned sampling, the size-biased sampling order 0.2 is more appropriate for the mechanism of data collection.

Suggested Citation

  • Maryam Karimi & Sayed Mohammad Reza Alavi, 2014. "The effect of weight function on hypothesis testing in weighted sampling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(11), pages 2493-2503, November.
    • Handle: RePEc:taf:japsta:v:41:y:2014:i:11:p:2493-2503
    DOI: 10.1080/02664763.2014.920777
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    References listed on IDEAS

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    1. John Copas & Dan Jackson, 2004. "A Bound for Publication Bias Based on the Fraction of Unpublished Studies," Biometrics, The International Biometric Society, vol. 60(1), pages 146-153, March.
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