Handbook Of Computational Statistics Data Visualization
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Handbook of Data Visualization
Author: Chun-houh Chen
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-12-18
Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also examines graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for graphics.
Handbook of Computational Statistics
Author: Yuichi Mori
language: en
Publisher: Springer Science & Business Media
Release Date: 2004-07-14
The Handbook of Computational Statistics: Concepts and Methodology is divided into four parts. It begins with an overview over the field of Computational Statistics. The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the need of fast and accurate numerical algorithms and it discusses some of the basic methodologies for transformation, data base handling and graphics treatment. The third part focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Finally a set of selected applications like Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.
Handbook of Data Visualization
This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools, graphical methodology for particular areas of statistics, as well software for graphics.