Universität zu Köln

Fischer, Daniel, Mosler, Karl, Mottonen, Jyrki, Nordhausen, Klaus ORCID: 0000-0002-3758-8501, Pokotylo, Oleksii and Vogel, Daniel ORCID: 0000-0002-6360-4077 (2020). Computing the Oja Median in R: The Package OjaNP. J. Stat. Softw., 92 (8). S. 1 - 37. LOS ANGELES: JOURNAL STATISTICAL SOFTWARE. ISSN 1548-7660

Full text not available from this repository.

Abstract

The Oja median is one of several extensions of the univariate median to the multivariate case. It has many desirable properties, but is computationally demanding. In this paper, we first review the properties of the Oja median and compare it to other multivariate medians. Then, we discuss four algorithms to compute the Oja median, which are implemented in our R package OjaNP. Besides these algorithms, the package contains also functions to compute Oja signs, Oja signed ranks, Oja ranks, and the related scatter concepts. To illustrate their use, the corresponding multivariate one- and C-sample location tests are implemented.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Fischer, Daniel UNSPECIFIED UNSPECIFIED UNSPECIFIED Mosler, Karl UNSPECIFIED UNSPECIFIED UNSPECIFIED Mottonen, Jyrki UNSPECIFIED UNSPECIFIED UNSPECIFIED Nordhausen, Klaus UNSPECIFIED orcid.org/0000-0002-3758-8501 UNSPECIFIED Pokotylo, Oleksii UNSPECIFIED UNSPECIFIED UNSPECIFIED Vogel, Daniel UNSPECIFIED orcid.org/0000-0002-6360-4077 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-346111
DOI:	10.18637/jss.v092.i08
Journal or Publication Title:	J. Stat. Softw.
Volume:	92
Number:	8
Page Range:	S. 1 - 37
Date:	2020
Publisher:	JOURNAL STATISTICAL SOFTWARE
Place of Publication:	LOS ANGELES
ISSN:	1548-7660
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language INVARIANT MULTIVARIATE SIGN; RANK-TESTS; ESTIMATORS; SAMPLES; DEPTH Multiple languages Computer Science, Interdisciplinary Applications; Statistics & Probability Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/34611