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Handbook of Data Visualization

Aus der Reihe Springer Handbooks of Computational Statistics

536,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.08.2016

Herausgeber

Chun-houh Chen + weitere

Verlag

Springer Berlin

Seitenzahl

936

Maße (L/B/H)

23,5/15,5/5,1 cm

Gewicht

1916 g

Auflage

Softcover reprint of the original 1st ed. 2008

Sprache

Englisch

ISBN

978-3-662-50074-3

Beschreibung

Rezension

From the reviews:



"This handbook shows hundreds of ways to visualize data by using modern, high-quality statistical graphics. … It is most enjoyable to see such a large number of specialists sharing their insights of these methods within one volume. This book really feeds the imagination of the reader. High-dimensionally recommended!" (Kimmo Vehkalahti, International Statistical Review, Vol. 76 (3), 2008)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.08.2016

Herausgeber

Verlag

Springer Berlin

Seitenzahl

936

Maße (L/B/H)

23,5/15,5/5,1 cm

Gewicht

1916 g

Auflage

Softcover reprint of the original 1st ed. 2008

Sprache

Englisch

ISBN

978-3-662-50074-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Handbook of Data Visualization
  • Produktbild: Handbook of Data Visualization
  • Data Visualization: Introduction. Principles: A Brief History of Data Visualization.- Good Graphics?- Static Graphics.- Data Visualization Through Their Graph Representations.- Graph-Theoretic Graphics.- High Dimensional Data Visualization.- Multivariate Data Glyphs: Principles and Practice.- Linked Views for Visual Exploration.- Linked Data Views.- Visualizing Trees and Forests. Methodologies: Interactive Linked Micromap Plots for the Display of Geographically Referenced Statistical Data.-Grand Tours, Projection Pursuit Guided Tours and Manual Controls.- Multidimensional Scaling - A Review.- Huge Multidimensional Data Visualization: Back to the Virtue of Principal Coordinates and Dendrograms in the New Computer Age.- Multivariate Density Estimation for Visualization.- Structured Sets of Graphs.- Regression by Parts: Fitting Visually Interpretable Models with GUIDE.- Structural Adaptive Smoothing by Propagation-Separation-Methods.- Smoothing Techniques for Visualization.- Data Visualization via Kernel Machines.- Visualization of Cluster Analysis and Finite Mixture Models.- Visualizing Contingency Tables.- Mosaicplots and Their Variations.- Parallel Coordinates: Visualization and Classification of High Dimensional Datasets.- Matrix Visualization.- Visualization in Bayesian Analysis.- Java Tools and Environment for Statistical Data Visualization.- Web-Based Statistical Graphics Using XML Technologies. Selected Applications: Data Visualization for Genetic Networks Reconstruction.- Visualizing Genomic Data.- Reconstruction, Visualization, and Analysis of Medical Images.- Exploratory Graphics of a Financial Dataset.- Graphical Data Representation in Bankruptcy Analysis.- Visualizing Functional Data with an Application to eBay's Online Auctions.- Visualization Tools for Insurance Risk Processes.