Artículos relacionados a Aspects of Multivariate Statistical Analysis in Geology
Sinopsis
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 Graph Server. 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.
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Críticas
This book contributes to a better understanding of multivariate statistical analysis in the earth sciences.(...)this monograph is a good support and a textbook addressed to students, researchers, instructors and general practitioners of multivariate statistical techniques in the geosciences and it is highly recommended. Statistical Software Newsletter, Vol. 34, No. 4 (A.F. Militino, Universidad Publica de Navarra, Spain)
Reseña del editor
This 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 "Graph Server". 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.
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