From data collection to mathematical models: methodological pathways.
Camiz, Sergio (2008)
Bulletin of TICMI
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Camiz, Sergio (2008)
Bulletin of TICMI
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Jorge Mateu (2002)
Qüestiió
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Spatial structures in the form of point patterns arise in many different contexts, and in most of them the key goal concerns the detection and recognition of the underlying spatial pattern. Particularly interesting is the case of pattern analysis with replicated data in two or more experimental groups. This paper compares design-based and model-based approaches to the analysis of this kind of spatial data. Basic questions about pattern detection concern estimating the properties of the...
Geert Molenberghs, Herbert Thijs, Bart Michiels, Geert Verbeke, Michael G. Kenward (2004)
Journal de la société française de statistique
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Ana Debón, Francisco Montes, Ramón Sala (2005)
SORT
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The parametric graduation of mortality data has as its objective the satisfactory estimation of the death rates based on mortality data but using an age-dependent function whose parameters are adjusted from the crude rates obtainable directly from the data. This paper proposes a revision of the most commonly used parametric models and compares the result obtained with each of them when they are applied to the mortality data for the Valencia Region. As a result of the comparison, we conclude...
Ammar Shaker, Eyke Hüllermeier (2014)
International Journal of Applied Mathematics and Computer Science
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In this paper, we introduce a method for survival analysis on data streams. Survival analysis (also known as event history analysis) is an established statistical method for the study of temporal “events” or, more specifically, questions regarding the temporal distribution of the occurrence of events and their dependence on covariates of the data sources. To make this method applicable in the setting of data streams, we propose an adaptive variant of a model that is closely related to...
Ammar Shaker, Eyke Hüllermeier (2014)
International Journal of Applied Mathematics and Computer Science
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Edilberto Cepeda-Cuervo, Vicente Nunez-Anton (2007)
SORT
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We consider the joint modelling of the mean and covariance structures for the general antedependence model, estimating their parameters and the innovation variances in a longitudinal data context. We propose a new and computationally efficient classic estimation method based on the Fisher scoring algorithm to obtain the maximum likelihood estimates of the parameters. In addition, we also propose a new and innovative Bayesian methodology based on the Gibbs sampling, properly adapted for...
Trost, D.C., Ii, E.A.Overman, Ostroff, J.H., Xiong, W., March, P. (2010)
Computational & Mathematical Methods in Medicine
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Zhaowei, Shang, Lingfeng, Zhang, Shangjun, Ma, Bin, Fang, Taiping, Zhang (2010)
Mathematical Problems in Engineering
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Steel, D.G., Tranmer, M., Holt, D. (2006)
Journal of Applied Mathematics and Decision Sciences
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Ewa Skotarczak, Ewa Bakinowska, Kamila Tomaszyk (2014)
Biometrical Letters
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A nonlinear statistical approach was used to evaluate the efficiency of plant protection products. The methodology presented can be implemented when the observations in an experiment are recorded as success or failure. This occurs, for example, when following the application of a herbicide or pesticide, a single weed or insect is classified as alive (failure) or dead (success). Then a higher probability of success means a higher efficiency of the tested product. Using simulated data...
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...