Data structures for computational statistics

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Last edited by MARC Bot
September 28, 2024 | History

Data structures for computational statistics

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.

Publish Date
Publisher
Physica-Verlag
Language
English
Pages
284

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Previews available in: English

Edition Availability
Cover of: Data structures for computational statistics
Data structures for computational statistics
1997, Physica-Verlag
in English

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Book Details


Edition Notes

Includes bibliographical references (p. 277-284).

Published in
Heidelberg
Series
Contributions to statistics

Classifications

Library of Congress
QA276.4 .K585 1997, QA75.5-76.95QA76.75-, QA276.4 .K594 1997, QA276-280

The Physical Object

Pagination
viii, 284 p. :
Number of pages
284

Edition Identifiers

Open Library
OL19978453M
ISBN 10
3790809829
OCLC/WorldCat
37558127
LibraryThing
8139584
Goodreads
6191935

Work Identifiers

Work ID
OL9215351W

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September 28, 2024 Edited by MARC Bot import existing book
August 4, 2020 Edited by ImportBot import existing book
December 3, 2010 Edited by Open Library Bot Added subjects from MARC records.
December 11, 2009 Created by WorkBot add works page