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Titlebook: Advances in Multivariate Data Analysis; Proceedings of the M Hans-Hermann Bock,Marcello Chiodi,Antonino Mineo Conference proceedings 2004 S

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期刊全稱Advances in Multivariate Data Analysis
期刊簡稱Proceedings of the M
影響因子2023Hans-Hermann Bock,Marcello Chiodi,Antonino Mineo
視頻videohttp://file.papertrans.cn/150/149046/149046.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Studies in Classification, Data Analysis, and Knowledge Organization
圖書封面Titlebook: Advances in Multivariate Data Analysis; Proceedings of the M Hans-Hermann Bock,Marcello Chiodi,Antonino Mineo Conference proceedings 2004 S
影響因子This volume contains a selection of papers presented during the biennial meeting of the CLAssification and Data Analysis Group (CLADAG) of the Societa Italiana di Statistica which was orga- nized by the Istituto di Statistica of the Universita degli Studi di Palermo and held in the Palazzo Steri in Palermo on July 5-6, 2001. For this conference, and after checking the submitted 4- page abstracts, 54 papers were admitted for presentation. They covered a large range of topics from multivariate data analysis, with special emphasis on classification and clustering, computa- tional statistics, time series analysis, and applications in various classical or recent domains. A two-fold careful reviewing process led to the selection of 22 papers which are presented in this vol- ume. They convey either a new idea or methodology, present a new algorithm, or concern an interesting application. We have clustered these papers into five groups as follows: 1. Classification Methods with Applications 2. Time Series Analysis and Related Methods 3. Computer Intensive Techniques and Algorithms 4. Classification and Data Analysis in Economics 5. Multivariate Analysis in Applied Sciences. In each section
Pindex Conference proceedings 2004
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The Genetic Algorithm Estimates for the Parameters of Order , Normal Distributions Wissenschaftsgegenstand, im deutschsprachigen Raum insbesondere der Betriebwirtschaftslehre. Welche Wissenschaftsansprüche die Managementbewegung von Anfang an begleiten, belegt die Formel vom ?Scientific Management“ (vgl. Taylor 1915). Der Managerialismus ist deswegen vielfach kritisiert worden, e
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Happy Families and Their Relativesence of ”false” subdivision, that although reducing the total error, does not correspond to the true relationship between predictors and response variable. Classical methods based on overfitting evaluation by error terms seems not appropriated for our aim. It will be shown how STP procedure studing
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Models of Set Theory with Atomsell known CART methodology ((.)), which is actually the benchmark for the case when the response is nominal or numerical. Our criterion is obtained by measuring . within a node referring to a general measure of mutual dispersion ((.)), which can be applied to every variable, whatever its nature. We
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