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Handbook of Computational Statistics

Concepts and Methods de

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Éditeur :

Springer


Collection :

Springer Handbooks of Computational Statistics

Paru le : 2012-07-06

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Description
The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.
Pages
1192 pages
Collection
Springer Handbooks of Computational Statistics
Parution
2012-07-06
Marque
Springer
EAN papier
9783642215506
EAN EPUB
9783642215513
Informations sur l'ebook
Nombre pages copiables
11
Nombre pages imprimables
119
Taille du fichier
16558 Ko
Prix
304,89 €

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