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Data Structures for Computational Statistics /

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The development of data structures for a statistical software system is treated in this book. Data structures, e.g. storage of statistical data, handling of different kind of graphics, are very important in designing a software system. A misspecification or too narrow approach will lead to an enormo...

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Bibliographic Details
Main Author: Klinke, S.
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Heidelberg : Physica-Verlag HD : Imprint : Physica, 1997.
Series:Contributions to statistics.
Subjects:
Statistics.
Economics > Statistics.
Economics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction: Motivation
  • The Need of Interactive Environments
  • Modern Computer Soft- and Hardware
  • Exploratory Statistical Techniques: Descriptive Statistics
  • Some Stratifications
  • Boxplots
  • Quantile-Quantile Plot
  • Histograms, Regressograms and Charts
  • Bivariate Plots
  • Scatterplot Matrices
  • Three Dimensional Plots
  • Higher Dimensional Plots
  • Basic Properties for Graphical Windows
  • Some Statistical Applications: Cluster Analysis
  • Teachware
  • Regression Methods
  • Exploratory Projection Pursuit: Motivation and History
  • The Basis of Exploratory Projection Pursuit
  • Application to the Swiss Banknote Dataset
  • Multivariate Exploratory Projection Pursuit
  • Discrete Exploratory Projection Pursuit
  • Requirements for a Tool Doing Exploratory Projection Pursuit
  • Data Structures: For Graphical Objects
  • For Data Objects
  • For Linking
  • Existing Computational Environments
  • Implementation in XploRe: Data Structures in XploRe 3.2
  • Selected Commands in XploRe 3.2
  • Selected Tools in XploRe 3.2
  • Data Structure in XploRe 4.0
  • Commands and Macros in XploRe 4.0
  • Conclusion.