Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Maria Kateri"'
Autor:
Francesco Buono, Maria Kateri
Publikováno v:
Entropy, Vol 26, Iss 5, p 417 (2024)
The aging intensity (AI), defined as the ratio of the instantaneous hazard rate and a baseline hazard rate, is a useful tool for the describing reliability properties of a random variable corresponding to a lifetime. In this work, the concept of AI i
Externí odkaz:
https://doaj.org/article/a3d24646e2a2431382000c3ea5bdc50d
Autor:
Maria Kateri
Publikováno v:
Symmetry, Vol 13, Iss 12, p 2297 (2021)
The quasisymmetry (QS) model for square contingency tables is revisited, highlighting properties and features on the basis of its alternative definitions. More parsimonious QS-type models, such as the ordinal QS model for ordinal classification varia
Externí odkaz:
https://doaj.org/article/aa5ab1e5fff544fda920377def53a213
Autor:
Maria Kateri
Publikováno v:
Entropy, Vol 20, Iss 5, p 324 (2018)
The ϕ -divergence association models for two-way contingency tables is a family of models that includes the association and correlation models as special cases. We present this family of models, discussing its features and demonstrating the role of
Externí odkaz:
https://doaj.org/article/878a886d4e8e435b9974f60067b593e1
Autor:
Stylianos Gatzonis, Nikolaos Triantafyllou, Maria Kateri, Anna Siatouni, Elias Angelopoulos, Vassilios Kimiskidis
Publikováno v:
Neurology International, Vol 2, Iss 2, Pp e18-e18 (2010)
Predicting the evolution of epilepsy is of obvious importance for patients and their families. Value of electroencephalography (EEG) is extensively used in the diagnosis of epilepsy yet its role as a prognostication method remains unclear. The aim of
Externí odkaz:
https://doaj.org/article/8880bbd431dd42c29c35be205ea377fa
Publikováno v:
Applied Stochastic Models in Business and Industry.
Autor:
Maria Kateri
Publikováno v:
Trends in Mathematical, Information and Data Sciences ISBN: 9783031041365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84374aefbaf4923c552e10e6ffaf1bd8
https://doi.org/10.1007/978-3-031-04137-2_7
https://doi.org/10.1007/978-3-031-04137-2_7