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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Reyment, R. A.
Otros Autores: Savazzi, Enrico
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; New York : Elsevier, 1999.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Reyment, R. A. 
245 1 0 |a Aspects of multivariate statistical analysis in geology /  |c Richard A. Reyment and Enrico Savazzi. 
260 |a Amsterdam ;  |a New York :  |b Elsevier,  |c 1999. 
300 |a 1 online resource (ix, 285 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
520 |a 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. 
505 0 |a 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. 
504 |a Includes bibliographical references (pages 275-280) and index. 
588 0 |a Print version record. 
650 0 |a Geology  |x Statistical methods. 
650 0 |a Multivariate analysis. 
650 6 |a G&#xFFFD;eologie  |x M&#xFFFD;ethodes statistiques.  |0 (CaQQLa)201-0087296 
650 6 |a Analyse multivari&#xFFFD;ee.  |0 (CaQQLa)201-0002611 
650 7 |a SCIENCE  |x Earth Sciences  |x General.  |2 bisacsh 
650 7 |a SCIENCE  |x Physics  |x Geophysics.  |2 bisacsh 
650 7 |a Geology  |x Statistical methods  |2 fast  |0 (OCoLC)fst00940698 
650 7 |a Multivariate analysis  |2 fast  |0 (OCoLC)fst01029105 
650 7 |a Geologie  |2 gnd  |0 (DE-588)4020227-6 
650 7 |a Multivariate Analyse  |2 gnd  |0 (DE-588)4040708-1 
650 7 |a Geoestat&#xFFFD;istica.  |2 larpcal 
650 7 |a An&#xFFFD;alise multivariada.  |2 larpcal 
655 4 |a Electronic books. 
700 1 |a Savazzi, Enrico. 
776 0 8 |i Print version:  |a Reyment, R.A.  |t Aspects of multivariate statistical analysis in geology.  |d Amsterdam ; New York : Elsevier, 1999  |z 0444825681  |z 9780444825681  |w (DLC) 99044753  |w (OCoLC)42290090 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780444825681  |z Texto completo