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Titlebook: Compstat; Proceedings in Compu Wolfgang Härdle,Bernd Rönz Conference proceedings 2002 Springer-Verlag Berlin Heidelberg 2002 Markov Chain.M

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书目名称Compstat
副标题Proceedings in Compu
编辑Wolfgang Härdle,Bernd Rönz
视频video
概述Includes supplementary material:
图书封面Titlebook: Compstat; Proceedings in Compu Wolfgang Härdle,Bernd Rönz Conference proceedings 2002 Springer-Verlag Berlin Heidelberg 2002 Markov Chain.M
描述This COMPSTAT 2002 book contains the Keynote, Invited, and Full Contributed papers presented in Berlin, August 2002. A companion volume including Short Communications and Posters is published on CD. The COMPSTAT 2002 is the 15th conference in a serie of biannual conferences with the objective to present the latest developments in Computational Statistics and is taking place from August 24th to August 28th, 2002. Previous COMPSTATs were in Vienna (1974), Berlin (1976), Leiden (1978), Edinburgh (1980), Toulouse (1982), Pra~ue (1984), Rome (1986), Copenhagen (1988), Dubrovnik (1990), Neuchatel (1992), Vienna (1994), Barcelona (1996), Bris­ tol (1998) and Utrecht (2000). COMPSTAT 2002 is organised by CASE, Center of Applied Statistics and Eco­ nomics at Humboldt-Universitat zu Berlin in cooperation with F‘reie Universitat Berlin and University of Potsdam. The topics of COMPSTAT include methodological applications, innovative soft­ ware and mathematical developments, especially in the following fields: statistical risk management, multivariate and robust analysis, Markov Chain Monte Carlo Methods, statistics of E-commerce, new strategies in teaching (Multimedia, In­ ternet), computerbas
出版日期Conference proceedings 2002
关键词Markov Chain; Mathematica; STATISTICA; Statistical Risk Management; clustering; data analysis; statistical
版次1
doihttps://doi.org/10.1007/978-3-642-57489-4
isbn_softcover978-3-7908-1517-7
isbn_ebook978-3-642-57489-4
copyrightSpringer-Verlag Berlin Heidelberg 2002
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书目名称Compstat读者反馈学科排名




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A Bayesian Model for Compositional Data AnalysisWe introduce a Bayesian hierarchical model for the analysis of compositional data, where the source data are observed as indicator measurements rather than direct proportions. We focus on an application of the model to water quality data, where we apportion stream water to three sources.
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Wolfgang Härdle,Bernd RönzIncludes supplementary material:
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https://doi.org/10.1057/9781403982797. The basic idea is that, for a fixed value of the covariate, a Box-Cox transformation of the response is applied to obtain standard normality. The three parameters are chosen to maximize a penalized log-likelihood. One unpublished extension by Lopatatzidis and Green is to transform to a gamma distr
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