Statistical Data Analysis Explained

- Preface

1. Introduction

2. Preparing the Data for Use in R and DAS+R

3. Graphics to Display the Data Distribution

4. Statistical Distribution Measures

5. Mapping Spatial Data

6. Further Graphics for Exploratory Data Analysis

7. Defining Background and Threshold, Identification of Data Outliers and Element Sources

8. Comparing Data in Tables and Graphics

9. Comparing Data Using Statistical Tests

10. Improving Data Behaviour for Statistical Analysis: Ranking and Transformations

11. Correlation

12. Multivariate Graphics

13. Multivariate Outlier Detection

14. Principal Component Analysis (PCA) and Factor Analysis (FA)

15. Cluster Analysis

16. Regression Analysis (RA)

17. Discriminant Analysis (DA) and other Knowledge Based Classification Methods

18. Quality Control (QC) 295

19. Introduction to R and Structure of the DAS+R Graphical User Interface

Clemens Reiman (born 1952) holds an M.Sc. in Mineralogy and Petrology from the University of Hamburg (Germany), a Ph.D. in Geosciences from Leoben Mining University, Austria, and a D.Sc. in Applied Geochemistry from the same university. he has worked as a lecturer in Mineralogy and Petrology and Environmental Sciences at Leoben Mining University, as an exploration geochemist in eastern Canada, in contract research in environmental sciences in Austria and managed the laboratory of an Austrian cement company before joining the Geological Survey of Norway in 1991 as a senior geochemist. From March to October 2004 he was director and professor at the German Federal Environment Agency (Unweltbundesamt, UBAS), responsible for the Division II, Environmental Health and Protection of Ecosystems. At present he is chairman of the EuroGeoSurveys geochemistry expert group, acting vice president of the International Association of GeoChemistry (IAGC), and associate editor of both Applied Geochemistry and Geochemistry: Exploration, Environment, Analysis.
 
Peter Filzmoser (born 1968) studies Applied Mathematics at the Vienna University of Technology, Austria, where he also wrote his doctoral thesis and habilitation devoted to the field of multivariate statistics. His research led him to the area of robust statistics, resulting in many international collaborations and various scientific papers in this area. His interest in applications of robust methods resulted in the development of R software packages. He was and is involved in the Organisation of several scientific evens devoted to robust statistics. Since 2001 he has been dozent at the Statistics Department at Vienna University of Technology. He was visiting professor at the universities of Vienna, Toulouse and Minsk.
 
Robert G. Garrett (Bob Garrett) studied Mining Geology and Applied Geochemistry at Imperial College, London, and joined the Geological Survey of Canada (GSC) in 1967 following post-doctoral studies