Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Jyrki Möttönen"'
Autor:
Daniel Fischer, Karl Mosler, Jyrki Möttönen, Klaus Nordhausen, Oleksii Pokotylo, Daniel Vogel
Publikováno v:
Journal of Statistical Software, Vol 92, Iss 1, Pp 1-36 (2020)
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
Externí odkaz:
https://doaj.org/article/7dc84e96eecf427ea1c4339972ddbaae
Publikováno v:
Communications in Statistics - Theory and Methods. :1-15
Autor:
Oleksii Pokotylo, Karl Mosler, Daniel Fischer, Klaus Nordhausen, Daniel Vogel, Jyrki Möttönen
Publikováno v:
Journal of Statistical Software; Vol 92 (2020); 1-36
Journal of Statistical Software, Vol 92, Iss 1, Pp 1-36 (2020)
Journal of Statistical Software, Vol 92, Iss 1, Pp 1-36 (2020)
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7b7adf5b08ee73db69b7a2ac9e0fd41
http://hdl.handle.net/10138/325096
http://hdl.handle.net/10138/325096
We illustrate a novel data-driven way of visualizing paths of labor market transitions. The proposed technique is used in many fields of science when analyzing transitions longitudinally. The statistical method applied in this study is based on seque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6a18d549b0cd91444ccb69fd0d89db8
https://trepo.tuni.fi/handle/10024/136779
https://trepo.tuni.fi/handle/10024/136779
Publikováno v:
New Advances in Statistics and Data Science ISBN: 9783319694153
In this paper we present a new method for testing multivariate growth curves which is based on spline approximation and on F-test. We show how the basic spline regression model can easily be extended to the multiple response case. The method is illus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0396332054d3552e8b7960743135d11d
https://doi.org/10.1007/978-3-319-69416-0_5
https://doi.org/10.1007/978-3-319-69416-0_5
Publikováno v:
Statistics & Probability Letters. 78:661-668
In the several samples location problem, it is usually of interest to present estimates of treatment effects along with the test. The spatial Hodges–Lehmann estimators Δ ^ ij of the differences between treatments i and j are apparent companions to
Publikováno v:
The Open Epidemiology Journal. 6:18-20
Regression models have been used to control confounding in food borne cohort studies, logistic regression has been commonly used due to easy converge. However, logistic regression provide estimates for OR only when RR estimate is lower than 10%, an u
Autor:
Jyrki Möttönen, Tapio Nummi
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 53:495-505
Summary In a modern computer-based forest harvester, tree stems are run in sequence through the measuring equipment root end first, and simultaneously the length and diameter are stored in a computer. These measurements may be utilized for example in
Publikováno v:
Allgemeines Statistisches Archiv. 88:137-154
Two multivariate L 1 objective functions, namely the k–variate extensions of the classical mean deviation and mean difference, are considered. The duality between the original data vectors and the hyperplanes going through the origin and k – 1 da
Autor:
Tapio Nummi, Jyrki Möttönen
Publikováno v:
Journal of Applied Statistics. 31:105-114
The aim of this study was to investigate prediction of stem measurements of Scots pine(Pinus sylvestris L.) for a modern computerized forest harvester. We are interested in the prediction of stem curve measurements when measurements of stems already