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" Data Structures for Computational Statistics "
by Sigbert Klinke.
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BL
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| Record Number
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751292
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b571251
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| Main Entry
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by Sigbert Klinke.
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| Title & Author
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Data Structures for Computational Statistics\ by Sigbert Klinke.
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| Publication Statement
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Heidelberg : Physica-Verlag HD : Imprint : Physica, 1997
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| Series Statement
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Contributions to statistics.
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(viii, 284 pages 108 illustrations)
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| ISBN
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3642592422
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: 9783642592423
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| Contents
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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.
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| Abstract
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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 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.
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| Subject
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Economics -- Statistics.
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Economics.
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Statistics.
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| Added Entry
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Sigbert Klinke
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