کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
416168 | 681292 | 2007 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A studentized permutation test for the non-parametric Behrens–Fisher problem
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A studentized permutation test for the non-parametric Behrens–Fisher problem A studentized permutation test for the non-parametric Behrens–Fisher problem](/preview/png/416168.png)
چکیده انگلیسی
For the non-parametric Behrens–Fisher problem a permutation test based on the studentized rank statistic of Brunner and Munzel is proposed. This procedure is applicable to count or ordered categorical data. By applying the central limit theorem of Janssen, it is shown that the asymptotic permutational distribution of this test statistic is a standard normal distribution. For very small and very different sample sizes, frequently occurring in medical and biological applications, an extensive simulation study suggests that this permutation test works well for data from several underlying distributions. The proposed test is applied to data from a clinical trial.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 51, Issue 10, 15 June 2007, Pages 5192–5204
Journal: Computational Statistics & Data Analysis - Volume 51, Issue 10, 15 June 2007, Pages 5192–5204
نویسندگان
Karin Neubert, Edgar Brunner,