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  • 标题:Confidence Intervals for the Binomial Proportion: A Comparison of Four Methods
  • 本地全文:下载
  • 作者:Luke Akong’o Orawo
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2021
  • 卷号:11
  • 期号:5
  • 页码:806-816
  • DOI:10.4236/ojs.2021.115047
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:This paper presents four methods of constructing the confidence interval for the proportion p of the binomial distribution. Evidence in the literature indicates the standard Wald confidence interval for the binomial proportion is inaccurate, especially for extreme values of p. Even for moderately large sample sizes, the coverage probabilities of the Wald confidence interval prove to be erratic for extreme values of p. Three alternative confidence intervals, namely, Wilson confidence interval, Clopper-Pearson interval, and likelihood interval, are compared to the Wald confidence interval on the basis of coverage probability and expected length by means of simulation.
  • 关键词:Binomial Distribution;Confidence Interval;Coverage Probability;Expected Length;Relative Likelihood Function
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