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Viac informácií o knihe Advances in Multivariate Data Analysis

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Anotácia knihy

The book presents a range of new developments in the theory and practice of multivariate statistical data analysis. Among the topics are the construction and comparison of classification trees, clustering methods, generalized multivariate distributions, the analysis of symbolic data, explorative time series analysis, smoothing and dynamic regression models, generalized linear models, and neural networks. Several contributions illustrate the use of multivariate methods in application fields such as economics, medicine, environment, and biology. TOC:Classification Methods with Applications.- Time Series Analysis and Related Methods.- Computer Intensive Techniques and Algorithms.- Classification and Data Analysis in Economics.- Multivariate Analysis in Applied Sciences.- Author Index.- Subject Index.

Parametre knihy

Zaradenie knihy Knihy po anglicky Mathematics & science Mathematics Probability & statistics

• Celý názov: Advances in Multivariate Data Analysis
• Podnázov: Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Palermo, July 5-6, 2001
• Autor: Hans-Hermann Bock, M. Chiodi, A. Mineo
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 281
• EAN: 9783540208891
• ISBN: 3540208895
• ID: 01558984
• Nakladateľ: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Hmotnosť: 920 g
• Rozmery: 235 × 155 × 17 mm
• Dátum vydania: 20. April 2004

Obľúbené z iného súdka

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