节点文献

完全随机设计两组t检验与秩和检验的功效比较

A Comparison of the Power of the t-test and Wilcoxon Rank-Sum Test

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 颜杰李彩霞方积乾丁守銮

【Author】 Yan Jie,Li Caixia,Fang Jiqian,et al., Department of Medical Statistics and Epidemiology,School of Public Health, Sun Yat-Sen University(510080),Guangzhou

【机构】 中山大学公共卫生学院医学统计与流行病学系山东大学流行病与卫生统计学研究所 510089510089510089

【摘要】 目的 比较t检验与秩和检验检验完全随机设计两组资料的功效。方法 用SAS软件编制电脑实验程序 ,模拟研究和比较不同总体条件下两组秩和检验与t检验的检验功效。结果 若总体分布对称 ,小样本时t检验功效较高 ,大样本时两种方法功效相似 ;总体非对称分布时秩和检验的功效高于t检验。结论 当样本量足够大时 ,可以用秩和检验代替t检验。

【Abstract】 Objective To compare power of the t-test and Wil coxon Rank-Sum test.Methods An investigation evaluates the comparative power of the independent samples t-test and its nonparametric counterpart, the Wilcoxon Rank-Sum test using SAS program.Results The t-test was more powerful under relatively symmetric distributions only with small sample sizes. When sample size is large enough, the power of the independent samples t-test and Wilcoxon Rank-Sum testis consistent. Under distributions with extreme skews, the Wilcoxon Rank-Sum test held large power advantages. Especially the distributions consist of heavier tails or extreme skews ,with large sample sizes.Conclusion When sample size is large enough, the Wilcoxon Rank-Sum test is recommended.

【关键词】 样本含量统计非参数功效
【Key words】 Sample-SizeStatisticsNonparametricPower
  • 【文献出处】 中国卫生统计 ,Chinese Journal of Health Statistics , 编辑部邮箱 ,2004年01期
  • 【分类号】R195
  • 【被引频次】27
  • 【下载频次】2190
节点文献中: