Overview

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 enormous amount of reprogramming if it is possible. Chapters deal with exploratory statistical techniques, some statistical applications, exploratory projection pursuit, data structures and implementation in XploRe. Examples are given with several statistical techniques, e.g. teachware, cluster anaylsis, non-parametric regression and exploratory projection pursuit.

Full Product Details

Author:   Sigbert Klinke
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   Softcover reprint of the original 1st ed. 1997
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   1.310kg
ISBN:  

9783790809824

ISBN 10:   3790809829
Pages:   284
Publication Date:   20 May 1997
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1 Introduction.- 1.1 Motivation.- 1.2 The Need of Interactive Environments.- 1.3 Modern Computer Soft- and Hardware.- 2 Exploratory Statistical Techniques.- 2.1 Descriptive Statistics.- 2.2 Some Stratifications.- 2.3 Boxplots.- 2.4 Quantile-Quantile Plot.- 2.5 Histograms, Regressograms and Charts.- 2.6 Bivariate Plots.- 2.7 Scatterplot Matrices.- 2.8 Three Dimensional Plots.- 2.9 Higher Dimensional Plots.- 2.10 Basic Properties for Graphical Windows.- 3 Some Statistical Applications.- 3.1 Cluster Analysis.- 3.2 Teachware.- 3.3 Regression Methods.- 4 Exploratory Projection Pursuit.- 4.1 Motivation and History.- 4.2 The Basis of Exploratory Projection Pursuit.- 4.3 Application to the Swiss Banknote Dataset.- 4.4 Multivariate Exploratory Projection Pursuit.- 4.5 Discrete Exploratory Projection Pursuit.- 4.6 Requirements for a Tool Doing Exploratory Projection Pursuit.- 5 Data Structures.- 5.1 For Graphical Objects.- 5.2 For Data Objects.- 5.3 For Linking.- 5.4 Existing Computational Environments.- 6 Implementation in XploRe.- 6.1 Data Structures in XploRe 3.2.- 6.2 Selected Commands in XploRe 3.2.- 6.3 Selected Tools in XploRe 3.2.- 6.4 Data Structure in XploRe 4.0.- 6.5 Commands and Macros in XploRe 4.0.- 7 Conclusion.- A The Datasets.- B Mean Squared Error of the Friedman-Tukey Index.- C Density Estimation on Hexagonal Bins.- D Programs.- E Tables.- References.

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