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Aspects of multivariate statistical analysis in geology /

The book presents multivariate statistical methods useful in geological analysis. The essential distinction between multivariate analysis as applied to full-space data (measurements on lengths, heights, breadths etc.) and compositional data is emphasized with particular reference to geochemical data...

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Bibliographic Details
Main Authors: Reyment, R. A. (Author)
Corporate Authors: Elsevier Science & Technology.
Group Author: Savazzi, Enrico.
Published: Elsevier,
Publisher Address: Amsterdam :
Publication Dates: 1999.
Literature type: eBook
Language: English
Subjects:
Geology > Statistical methods.
Multivariate analysis.
Geology > Statistical methods. Multivariate analysis.
SCIENCE > General. > General.
SCIENCE > Geophysics. > Geophysics.
Geoestati stica.
Ana lise multivariada.
Geologie.
Multivariate Analyse.
Electronic books.
Online Access: http://www.sciencedirect.com/science/book/9780444825681
Summary: The book presents multivariate statistical methods useful in geological analysis. The essential distinction between multivariate analysis as applied to full-space data (measurements on lengths, heights, breadths etc.) and compositional data is emphasized with particular reference to geochemical data. Each of the methods is accompanied by a practically oriented computer program and backed up by appropriate examples. The computer programs are provided on a compact disk together with trial data-sets and examples of the output. An important feature of this book is the graphical system developed by Dr. Savazzi which is entitled <IT>Graph Server</IT>. Geological data often deviate from ideal statistical requirements. For this reason, close attention has been paid to the analysis of data that contain atypical observations.
Carrier Form: 1 online resource (ix, 285 pages) : illustrations
Bibliography: Includes bibliographical references (pages 275-280) and index.
ISBN: 9780080527611
0080527612
1281047562
9781281047564
Index Number: QE33
CLC: P5-32
Contents: Chapter headings: Preface. Introduction. <IT>Graph Server</IT> and <IT>Graph Wizard</IT>. Methods for Analysing a Sample Drawn From a Single Population. Comparing Samples From Two Populations: The Discriminant Function. Analysis of Several Groups: Canonical Variate Analysis. Correlating Between Sets. Some Problems in Petrology and Geochemistry. Miscellaneous Examples. Glossary of Program Operations. References. Contents of Accompanying Compact Disk.

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