Data Structures for Computational Statistics (Paperback)

Sigbert Klinke

ISBN 10: 3790809829 / ISBN 13: 9783790809824

Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg, 1997

About this Item

Paperback. 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. Since the beginning of the seventies computer hardware is available to use programmable computers for various tasks. The introduction of personal computers in the eighties gave new impulses for even further development, already at the beginning of the seven ties some special languages like SAS or SPSS were available for statisticians. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783790809824

Bibliographic Details

• Title: Data Structures for Computational Statistics (Paperback)
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg
• Publication Date: 1997
• Language: English
• ISBN 10: 3790809829
• ISBN 13: 9783790809824
• Binding: Paperback
• Edition: 1st Edition
• Condition: new

About this title

Synopsis

Since the beginning of the seventies computer hardware is available to use programmable computers for various tasks. During the nineties the hardware has developed from the big main frames to personal workstations. Nowadays it is not only the hardware which is much more powerful, but workstations can do much more work than a main frame, compared to the seventies. In parallel we find a specialization in the software. Languages like COBOL for business­ orientated programming or Fortran for scientific computing only marked the beginning. The introduction of personal computers in the eighties gave new impulses for even further development, already at the beginning of the seven­ ties some special languages like SAS or SPSS were available for statisticians. Now that personal computers have become very popular the number of pro­ grams start to explode. Today we will find a wide variety of programs for almost any statistical purpose (Koch & Haag 1995).