Pseudo-Ranks: How to Calculate Them Efficiently in R

التفاصيل البيبلوغرافية
العنوان: Pseudo-Ranks: How to Calculate Them Efficiently in R
المؤلفون: Arne C. Bathke, Georg Zimmermann, Martin Happ, Edgar Brunner
المساهمون: FWF
المصدر: Journal of Statistical Software, Vol 95, Iss 1, Pp 1-22 (2020)
Journal of Statistical Software; Vol 95 (2020); 1-22
بيانات النشر: Foundation for Open Access Statistic, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Statistics and Probability, Computer science, Statistics, Nonparametric statistics, 01 natural sciences, pseudo-ranks, Mathematics, Mathematical statistics, HA1-4737, Interpretation (model theory), nonparametric statistics, 010104 statistics & probability, Resampling, Independent samples, ranks, R, 0101 mathematics, Statistics, Probability and Uncertainty, Algorithm, Software
الوصف: Many popular nonparametric inferential methods are based on ranks. Among the most commonly used and most famous tests are for example the Wilcoxon-Mann-Whitney test for two independent samples, and the Kruskal-Wallis test for multiple independent groups. However, recently, it has become clear that the use of ranks may lead to paradoxical results in case of more than two groups. Luckily, these problems can be avoided simply by using pseudo-ranks instead of ranks. These pseudo-ranks, however, suffer from being (a) at first less intuitive and not as straightforward in their interpretation, (b) computationally much more expensive to calculate. The computational cost has been prohibitive, for example, for large-scale simulative evaluations or application of resampling-based pseudorank procedures. In this paper, we provide different algorithms to calculate pseudo-ranks efficiently in order to solve problem (b) and thus render it possible to overcome the current limitations of procedures based on pseudo-ranks.
وصف الملف: PB
تدمد: 1548-7660
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a23c1c44ad3ee39ccf59f7917ed42e9Test
https://doi.org/10.18637/jss.v095.c01Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....4a23c1c44ad3ee39ccf59f7917ed42e9
قاعدة البيانات: OpenAIRE