Книга COMPSTAT 2008 Paula Brito

COMPSTAT 2008

Proceedings in Computational Statistics

Автор: Paula Brito
Език: Английски език
Корици: С твърди корици
Издател: Physica-Verlag
Наличност: Външен склад в ограничено количество
Изпращаме след 13-18 дни
178.32 348.76 лв
This volume presents recent methodological developments in Applied/Computational Statistics. A wide...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2008
страници
573
EAN
9783790820836
ISBN
3790820830
Enbook ID
01738067
Издател
Теглоt
901
Размери
155 x 235 x 36

Пълно описание

This volume presents recent methodological developments in Applied/Computational Statistics. A wide range of topics is covered including Advances on Statistical Computing Environments, Methods for Classification and Clustering, Computation for Graphical Models and Bayes Nets, Computational Econometrics, Computational Statistics and Data Mining, Statistics for Finance and Insurance, Information Retrieval for Text and Images, Knowledge Extraction by Models, Model Selection Algorithms, Models for Latent Class Detection, Multiple Testing Procedures, Random Search Algorithms, Robust Statistics and Signal Extraction and Filtering. Besides structural and theoretical results, the book presents a wide variety of applications in fields such as time-series analysis, econometrics, finance and insurance, biology, micro-array analysis, astronomy, text analysis and alcohol studies. Combining new methodological advances with a wide variety of real applications, this volume is specially valuable for researchers and practitioners, providing new analytical tools useful in theoretical research and daily practice in computational statistics and applied statistics in general.This volume presents recent methodological developments in Applied/Computational Statistics. A wide range of topics is covered including Advances on Statistical Computing Environments, Classification and Clustering, Graphical Models and Bayes Nets, Computational Econometrics, Data Mining, Model Selection, Latent Class Detection, Multiple Testing Procedures, Random Search Algorithms, Robust Statistics and Signal Extraction and Filtering. Besides theoretical results, the book presents a variety of applications in fields such as time-series analysis, finance and insurance, micro-array analysis, astronomy and text analysis. §Combining new methodological advances with a wide variety of real applications, this volume is specially valuable for researchers and practitioners, providing new analytical tools useful in theoretical research and daily practice in computational statistics and applied statistics.

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