Roberto Baragona, Salvatore Vitrano (auth.), Prof. Sergio's Data Analysis, Classification and the Forward Search: PDF

By Roberto Baragona, Salvatore Vitrano (auth.), Prof. Sergio Zani, Prof. Andrea Cerioli, Prof. Marco Riani, Prof. Maurizio Vichi (eds.)

ISBN-10: 354035977X

ISBN-13: 9783540359777

ISBN-10: 3540359788

ISBN-13: 9783540359784

This quantity comprises revised models of chosen papers awarded on the biennial assembly of the class and information research staff (CLADAG) of the Italian Statistical Society, which used to be held in Parma, June 6-8, 2005. Sergio Zani chaired the medical Programme Committee and Andrea Cerioli chaired the neighborhood Organizing Committee. The clinical programme of the convention integrated 127 papers, forty two in spe­ cialized periods, sixty eight in contributed paper classes and 17 in poster periods. in addition, it used to be attainable to recruit 5 remarkable and the world over popular invited audio system (including the 2004-2005 President of the foreign Fed­ eration of type Societies) for plenary talks on their present learn paintings. one of the really expert classes, have been geared up via Wolfgang Gaul with 5 talks via participants of the GfKl (German type Society), and one through Jacqueline J. Meulman (Dutch/Flemish category Society). hence, the convention supplied quite a few scientists and specialists from domestic and overseas with an enticing discussion board for dialogue and mutual alternate of data. the subjects of all plenary and really good classes have been selected to slot, within the broadest attainable feel, the project of CLADAG, the purpose of that's "to extra methodological, computational and utilized examine in the fields of category, info research and Multivariate Statistics". A peer-review refereeing technique ended in the choice of forty six prolonged papers, that are contained during this book.

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Additional resources for Data Analysis, Classification and the Forward Search: Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June 6–8, 2005

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As a matter of fact, a pollution index based on the first principal component of the structural means reached by improved DTW with vector valued series may overcome the two main drawbacks of official air quality indexes The first one is that it is not realistic to assume the same air pollution index as valid all over the world, since different areas are characterized by different climatic conditions, and both the construction of the index and the breakpoints should be data dependent. The second drawback is that these idexes are usually referred to a single pollutant while the level of pollution should be considered with respect to the different pollutants simultaneously present in the atmosphere.

The remainder of this paper is structured as follows: First, we outline three different methodologies that we are going to use for clustering consumer profiles, simultaneously determining an appropriate number of clusters in this market segmentation task. Subsequently, the results are compared and selected clusters are interpreted with respect to the immanent nutrition and consumption behavior. Finally we briefly address the development of communication strategies for these market segments. The paper concludes with a discussion of results and directions of further research.

The idea behind these methods is to estimate the warping functions Wn{t) for aligning each series n, (n = 1 , . . , A^) to a reference curve. Once the aligned values ^n(0 — ^ni'Wnit)) circ computcd, the structural mean is then estimated by fi{t) = x*(t), that is by the cross sectional mean of the warped series. In this paper we propose a nonparametric method for estimating discrete warping functions which does not involve landmark identification and is based on the DTW algorithm. The method relies on a minimization problem which can be solved efficiently by dynamic programming.

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Data Analysis, Classification and the Forward Search: Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June 6–8, 2005 by Roberto Baragona, Salvatore Vitrano (auth.), Prof. Sergio Zani, Prof. Andrea Cerioli, Prof. Marco Riani, Prof. Maurizio Vichi (eds.)


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