Titlebook: Advances in Theoretical and Applied Statistics; Nicola Torelli,Fortunato Pesarin,Avner Bar-Hen Book 2013 Springer-Verlag Berlin Heidelberg

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Concise Reader of Chinese Literature Historymer satisfaction, health and educational effectiveness. In such real contexts, the study of dependence relations among the involved variables represents an attractive research field. However, the categorical nature of variables does not always successfully allow the application of the existing stand

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Literature in the Southern Dynastiest satisfy a given set of constraints in terms of orthogonality [Fontana, Pistone and Rogantin (JSPI, 2000), Pistone and Rogantin (JSPI, 2008)]. The general case of mixed level designs without restrictions on the number of levels of each factor (such as power of prime number) is studied. The generati

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https://doi.org/10.1007/978-981-99-5814-6rmation of the ambient space in which the objects of interest lie. The use of basis functions, defined by principal warps in space and time, facilitates both the model specification and the fitting of the data in Procrustes tangent coordinates. The fitted model can be interpreted either just in term

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https://doi.org/10.1007/3-540-54938-2ws a vector moving average model. We call this class of processes Threshold Vector Moving Average. The stochastic structure is presented even proposing alternative model specifications. The invertibility of the model is discussed detail and, in this context, empirical examples are proposed to show s

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https://doi.org/10.1007/3-540-54938-2rtition optimizing a criterion of spatial association among functional data. Furthermore it is such that a summary of the variability structure of each cluster is discovered. The performance of the proposal is checked through an application on real data.

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https://doi.org/10.1007/3-540-54938-2 been proposed for modeling them simultaneously. We consider threshold models and present a general model allowing for several different regimes both in time and in levels, where regime transitions may happen according to self-exciting, or smoothly varying, or piecewise linear threshold modeling. Si

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https://doi.org/10.1007/3-540-54938-2 analysis of paired comparison data assume independence among all observations, but this seems unrealistic because comparisons with a common object are naturally correlated. A model that introduces correlation between comparisons with at least a common object is discussed. The likelihood function of