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  • 标题:Statistical Tests for the Reciprocal of a Normal Mean with a Known Coefficient of Variation
  • 本地全文:下载
  • 作者:Wararit Panichkitkosolkul
  • 期刊名称:Journal of Probability and Statistics
  • 印刷版ISSN:1687-952X
  • 电子版ISSN:1687-9538
  • 出版年度:2015
  • 卷号:2015
  • DOI:10.1155/2015/723924
  • 出版社:Hindawi Publishing Corporation
  • 摘要:An asymptotic test and an approximate test for the reciprocal of a normal mean with a known coefficient of variation were proposed in this paper. The asymptotic test was based on the expectation and variance of the estimator of the reciprocal of a normal mean. The approximate test used the approximate expectation and variance of the estimator by Taylor series expansion. A Monte Carlo simulation study was conducted to compare the performance of the two statistical tests. Simulation results showed that the two proposed tests performed well in terms of empirical type I errors and power. Nevertheless, the approximate test was easier to compute than the asymptotic test.
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