Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Functional Mahalanobis semi-distance"'
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
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The comparison of the means of two independent samples is one of the most popular problems in real-world data analysis. In the multivariate context, two-sample Hotelling's T² frequently used to test the equality of means of two independent Gaussian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b61f2bf67c279cd9c69ce16d87d527c5
https://hdl.handle.net/10016/20253
https://hdl.handle.net/10016/20253
Autor:
Joseph, Esdras
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
Functional data refer to data which consist of curves evaluated at a finite subset of some interval in the real line. In this thesis, we deal with this type of data, focusing on the notion of functional distance. In the literature, there is few refer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0bd1a458a402f8683940261c99cc8eae
https://hdl.handle.net/10016/21673
https://hdl.handle.net/10016/21673
The comparison of the means of two independent samples is one of the most popular problems in real-world data analysis. In the multivariate context, two-sample Hotelling's T² frequently used to test the equality of means of two independent Gaussian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::4d67d1284803d573ecdae130b3483192
http://e-archivo.uc3m.es/bitstream/handle/10016/20253/ws1503.pdf?sequence=1
http://e-archivo.uc3m.es/bitstream/handle/10016/20253/ws1503.pdf?sequence=1
Autor:
Brusi, Kalle
This thesis introduces a recently developed method, functional Mahalanobis semi-distance. The method is applied as a safety performance indicator for military aviation. The data was recorded from routine flights by Finnish Air Force BAE Hawks and col
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4853::9aab577293fa7aa5500bc23c056ee63f
https://trepo.tuni.fi/handle/10024/95939
https://trepo.tuni.fi/handle/10024/95939
This paper presents a general notion of Mahalanobis distance for functional data that extends the classical multivariate concept to situations where the observed data are points belonging to curves generated by a stochastic process. More precisely, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8012d62dced84b872e52cd6ad5e1522
http://e-archivo.uc3m.es/bitstream/handle/10016/16960/ws131312.pdf?sequence=1
http://e-archivo.uc3m.es/bitstream/handle/10016/16960/ws131312.pdf?sequence=1
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
This paper presents a general notion of Mahalanobis distance for functional data that extends the classical multivariate concept to situations where the observed data are points belonging to curves generated by a stochastic process. More precisely, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a044c8bd9ccf26461294e6d67ca35b9c
https://hdl.handle.net/10016/16960
https://hdl.handle.net/10016/16960