menu 简单麦麦
account_circle

成对多重比较:理论与计算-Pairwise Multiple Comparisons: Theory and Computation

帮助2578人找到了他们想要的文件
上传于 2020-03-06 42次下载 8次围观
文件编号:11494
文件详情
标题(title):Pairwise Multiple Comparisons: Theory and Computation
成对多重比较:理论与计算
作者(author):Taka-aki Shiraishi, Hiroshi Sugiura, Shin-ichi Matsuda
出版社(publisher):Springer Singapore
大小(size):2 MB (2008501 bytes)
格式(extension):pdf
注意:如果文件下载完成后为无法打开的格式,请修改后缀名为格式对应后缀





This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on maximum absolute values of some two-sample t-test statistics and on F-test statistics in homoscedastic multi-sample models. It shows that (1) the multi-step procedures are more powerful than single-step procedures and the Ryan/Einot–Gabriel/Welsh tests, and (2) the confidence regions induced by the multi-step procedures are equivalent to simultaneous confidence intervals. Next, it describes the multi-step test procedure in heteroscedastic multi-sample models, which is superior to the single-step Games–Howell procedure. In the context of simple ordered restrictions of means, the authors also discuss closed testing procedures based on maximum values of two-sample one-sided t-test statistics and based on Bartholomew's statistics. Furthermore, the book presents distribution-free procedures and describes simulation studies performed under the null hypothesis and some alternative hypotheses. Although single-step multiple comparison procedures are generally used, the closed testing procedures described are more powerful than the single-step procedures. In order to execute the multiple comparison procedures, the upper 100α percentiles of the complicated distributions are required. Classical integral formulas such as Simpson's rule and the Gaussian rule have been used for the calculation of the integral transform that appears in statistical calculations. However, these formulas are not effective for the complicated distribution. As such, the authors introduce the sinc method, which is optimal in terms of accuracy and computational cost.





Table of contents :
Front Matter ....Pages i-viii
All-Pairwise Comparisons in Homoscedastic Multi-sample Models (Taka-aki Shiraishi, Hiroshi Sugiura, Shin-ichi Matsuda)....Pages 1-12
Multiple Comparisons in Heteroscedastic Multi-sample Models (Taka-aki Shiraishi, Hiroshi Sugiura, Shin-ichi Matsuda)....Pages 13-19
Multiple Comparison Procedures Under Simple Order Restrictions (Taka-aki Shiraishi, Hiroshi Sugiura, Shin-ichi Matsuda)....Pages 21-34
Nonparametric Procedures Based on Rank Statistics (Taka-aki Shiraishi, Hiroshi Sugiura, Shin-ichi Matsuda)....Pages 35-43
Comparison of Simulated Power Among Multiple Comparison Tests (Taka-aki Shiraishi, Hiroshi Sugiura, Shin-ichi Matsuda)....Pages 45-48
Application of Multiple Comparison Tests to Real Data (Taka-aki Shiraishi, Hiroshi Sugiura, Shin-ichi Matsuda)....Pages 49-55
Computation of Distribution Functions for Statistics Under Simple Order Restrictions (Taka-aki Shiraishi, Hiroshi Sugiura, Shin-ichi Matsuda)....Pages 57-93
Related Topics (Taka-aki Shiraishi, Hiroshi Sugiura, Shin-ichi Matsuda)....Pages 95-100
Back Matter ....Pages 101-102
下载方式
购买后可查看 购买按钮在底部

常见问题

  • question_answer
    解压密码,提取码在哪?
    keyboard_arrow_down
    • 均在下载旁边哦,请注意查看,如果没有则是不需要密码
  • question_answer
    文件不符合描述怎么办?
    keyboard_arrow_down
    • 如果有文件问题,可以通过 卖家联系方式 联系卖家,如果 联系不上卖家 或 卖家无法解决则可以在我的订单页面申请售后
  • question_answer
    其他
    keyboard_arrow_down
    • 3.本文件为公益分享,文件由网上采集而来,如有侵权等问题,请及时联系客服删除
      常见问题及官方客服联系方式:点击前往
      售后问题处理方式:点击前往
-到底部了哦-
微信扫码支付
成对多重比较:理论与计算-Pairwise Multiple Comparisons: Theory and Computation
支付金额: 共计:¥0.0

添加收藏

创建新合集