Book review: "Neural Networks and Sea Time Series. Reconstruction and extreme-event analysis" by B. Tirozzi, S. Puca, S. Pittalis, A. Bruschi, S. Morucci, E. Ferraro and S. Corsini
Jacek Mańdziuk (2007)
Control and Cybernetics
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Displaying similar documents to “Book review: 'Advances in Data Analysis' by C. H. Skiadas”
Book review: "Neural Networks and Sea Time Series. Reconstruction and extreme-event analysis" by B. Tirozzi, S. Puca, S. Pittalis, A. Bruschi, S. Morucci, E. Ferraro and S. Corsini
Book review: "Advances in Ranking and Selection, Multiple Comparisons, and reliability: Methodology and Applications" by N. Balakrishnan, N. Kannan, and H.N. Nagaraja, eds.
Leszek Klukowski (2006)
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Spatial modelling and the statistical analysis of spatial data in human geography
Robert Haining (1987)
Mathématiques et Sciences Humaines
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A tutorial on nonlinear time-series data mining in engineering asset health and reliability prediction: concepts, models, and algorithms.
Dong, Ming (2010)
Mathematical Problems in Engineering
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Survival analysis on data streams: analyzing temporal events in dynamically changing environments
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Book Reviews
(2000)
Applications of Mathematics
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Exploratory multivariate data analysis from its origins to 1980: nine contributions.
Lebart, Ludovic (2008)
Journal Électronique d'Histoire des Probabilités et de la Statistique [electronic only]
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The biological stimulus to multidimensional data analysis.
Gower, John (2008)
Journal Électronique d'Histoire des Probabilités et de la Statistique [electronic only]
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On the logical development of statistical models.
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. ...
Parameters in collective decision making models : estimation and sensitivity
Tom A. B. Snijders, Evelien P. H. Zeggelink, Frans N. Stokman (1997)
Mathématiques et Sciences Humaines
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Simulation models for collective decision making are based on theoretical and empirical insight in the decision making process, but still contain a number of parameters of which the values are determined ad hoc. For the dynamic access model, some of such parameters are discussed, and it is proposed to extend the utility functions with a random term of which the variance also is an unknown parameter. These parameters can be estimated by fitting model predictions to data, where the predictions...