Modeling abilities in 3-IRT models.
Cepeda Cuervo, Edilberto, Peláez Andrade, José Manuel (2004)
Revista Colombiana de Estadística
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Cepeda Cuervo, Edilberto, Peláez Andrade, José Manuel (2004)
Revista Colombiana de Estadística
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Rayner, J.C.W., Best, D.J. (2000)
Journal of Applied Mathematics and Decision Sciences
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Demirel, Oğuzhan, Soytürk, Emine (2008)
APPS. Applied Sciences
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M. Ivette Gomes, Marta Ferreira, Víctor Leiva (2012)
Biometrical Letters
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The Birnbaum-Saunders (BS) model is a life distribution that has been widely studied and applied. Recently, a new version of the BS distribution based on extreme value theory has been introduced, named the extreme value Birnbaum-Saunders (EVBS) distribution. In this article we provide some further details on the EVBS models that can be useful as a supplement to the existing results. We use these models to analyse real survival time data for patients treated with alkylating agents for...
Demirel, Oğuzhan, Soytürk Seyrantepe, Emine (2010)
Acta Universitatis Apulensis. Mathematics - Informatics
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Yamina, Khemal Bencheikh (2009)
International Journal of Open Problems in Computer Science and Mathematics. IJOPCM
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Mihoc, Ion, Fătu, Cristina–Ioana (2008)
Acta Universitatis Apulensis. Mathematics - Informatics
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Sarhan, Ammar M., Zaindin, Mazen (2009)
APPS. Applied Sciences
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Drezner, Zvi, Marcoulides, George A., Stohs, Mark Hoven (2001)
Journal of Applied Mathematics and Decision Sciences
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Anabela Marques, Ana Sousa Ferreira, Margarida G.M.S. Cardoso (2013)
Biometrical Letters
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In Discrete Discriminant Analysis one often has to deal with dimensionality problems. In fact, even a moderate number of explanatory variables leads to an enormous number of possible states (outcomes) when compared to the number of objects under study, as occurs particularly in the social sciences, humanities and health-related elds. As a consequence, classi cation or discriminant models may exhibit poor performance due to the large number of parameters to be estimated. In the present...
Igor Vajda, Arnost Vesely, Jana Zvarova (2005)
Revista Matemática Complutense
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We present a mathematical model allowing formally define the concepts of empirical and theoretical knowledge. The model consists of a finite set P of predicates and a probability space (Ω, S, P) over a finite set Ω called ontology which consists of objects ω for which the predicates π ∈ P are either valid (π(ω) = 1) or not valid (π(ω) = 0). Since this is a first step in this area, our approach is as simple as possible, but still nontrivial, as it is demonstrated by examples. More realistic...
Z. Nowak, A. Stachurski (2003)
Control and Cybernetics
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