New progress in enumeration of mixed models.
Bayon, Roman, Lygeros, Nik, Sereni, Jean-Sébastien (2005)
Applied Mathematics E-Notes [electronic only]
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Bayon, Roman, Lygeros, Nik, Sereni, Jean-Sébastien (2005)
Applied Mathematics E-Notes [electronic only]
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Alessandro Magrini, Ottorino L. Pantani, Alessandra Biondi Bartolini, Federico M. Stefanini (2016)
Biometrical Letters
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The analysis of wine sensory descriptors is a fundamental step in the improvement of wine making, because the procedures are judged just before bottled wine is ready for consumption. Despite several contributions in the literature, traditional analysis of variance methods are not adequate to analyse sensory descriptors, because they are defined on ordinal scales. In this paper, we exploit cumulative link mixed models in a three-way full factorial design to assess the effect of prefermentative...
E. Krusińska, J. Liebhart (1988)
Applicationes Mathematicae
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Geert Molenberghs, Didier Renard, Geert Verbeke (2002)
Journal de la société française de statistique
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A.A. Adalja, P.S. Crooke, J.R. Hotchkiss (2010)
Mathematical Modelling of Natural Phenomena
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Epidemiologic data suggest that schools and daycare facilities likely play a major role in the dissemination of influenza. Pathogen transmission within such small, inhomogenously mixed populations is difficult to model using traditional approaches. We developed simulation based mathematical tool to investigate the effects of social contact networks on pathogen dissemination in a setting analogous to a daycare center or grade school. Here ...
E. Krusińska, J. Liebhart (1988)
Applicationes Mathematicae
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Hwa, Yen Siew (2006)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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David Ríos Insua, Raquel Montes Díez, Jesús Palomo Martínez (2002)
RACSAM
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Hydrology and water resources management are inherently affected by uncertainty in many of their involved processes, including inflows, rainfall, water demand, evaporation, etc. Statistics plays, therefore, an essential role in their study. We review here some recent advances within Bayesian statistics and decision analysis which will have a profound impact in these fields.
Manuel Artís, Montserrat Guillén, José M.ª Martínez (1994)
Qüestiió
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The application of statistical techniques in decision making, and more specifically for classification requirements, has proved to be adequate in the context of financial problems. In this study, we present the methodology used and the results obtained in the elaboration of a decision-support system for credit assignment. The problem was to provide an automatic tool for a Spanish financial institution that needed to quantify and analyse credit applications from clients. Firstly, we shall...
Daniel Peña (1988)
Trabajos de Estadística
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This paper presents a classification of statistical models using a simple and logical framework. Some remarks are made about the historical appearance of each type of model and the practical problems that motivated them. It is argued that the current stages of the statistical methodology for model building have arisen in response to the needs for more sophisticated procedures for building dynamic-explicative types of models. Some potentially important topics for future research are included. ...
Peter R. Freeman (1980)
Trabajos de Estadística e Investigación Operativa
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This paper reviews models for the occurrence of outliers in data from the linear model. The Bayesian analyses are all closely similar in form, but differ in the way they treat suspected outliers. The models are compared on Darwin's data and one of them is used on data from a 25 factorial experiment. The question on how many outliers are present involves comparison of models with different number of parameters. A solution using proper priors on all parameters...