Reimann / Filzmoser / Garrett | Statistical Data Analysis Explained | E-Book | sack.de
E-Book

E-Book, Englisch, 362 Seiten, E-Book

Reimann / Filzmoser / Garrett Statistical Data Analysis Explained

Applied Environmental Statistics with R
1. Auflage 2008
ISBN: 978-0-470-98759-9
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

Applied Environmental Statistics with R

E-Book, Englisch, 362 Seiten, E-Book

ISBN: 978-0-470-98759-9
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Few books on statistical data analysis in the natural sciences arewritten at a level that a non-statistician will easily understand.This is a book written in colloquial language, avoidingmathematical formulae as much as possible, trying to explainstatistical methods using examples and graphics instead. Touse the book efficiently, readers should have some computerexperience. The book starts with the simplest of statisticalconcepts and carries readers forward to a deeper and more extensiveunderstanding of the use of statistics in environmental sciences.The book concerns the application of statistical and other computermethods to the management, analysis and display of spatial data.These data are characterised by including locations (geographiccoordinates), which leads to the necessity of using maps to displaythe data and the results of the statistical methods. Although thebook uses examples from applied geochemistry, and a largegeochemical survey in particular, the principles and ideas equallywell apply to other natural sciences, e.g., environmental sciences,pedology, hydrology, geography, forestry, ecology, and healthsciences/epidemiology.
The book is unique because it supplies direct access to softwaresolutions (based on R, the Open Source version of the S-languagefor statistics) for applied environmental statistics. For allgraphics and tables presented in the book, the R-scripts areprovided in the form of executable R-scripts. In addition, agraphical user interface for R, called DAS+R, was developed forconvenient, fast and interactive data analysis.
Statistical Data Analysis Explained: Applied EnvironmentalStatistics with R provides, on an accompanying website, thesoftware to undertake all the procedures discussed, and the dataemployed for their description in the book.

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Clemens Reiman (born 1952) holds an M.Sc. in Mineralogy andPetrology from the University of Hamburg (Germany), a Ph.D. inGeosciences from Leoben Mining University, Austria, and a D.Sc. inApplied Geochemistry from the same university. he has worked as alecturer in Mineralogy and Petrology and Environmental Sciences atLeoben Mining University, as an exploration geochemist in easternCanada, in contract research in environmental sciences in Austriaand managed the laboratory of an Austrian cement company beforejoining the Geological Survey of Norway in 1991 as a seniorgeochemist. From March to October 2004 he was director andprofessor at the German Federal Environment Agency(Unweltbundesamt, UBAS), responsible for the Division II,Environmental Health and Protection of Ecosystems. At present he ischairman of the EuroGeoSurveys geochemistry expert group, actingvice president of the International Association of GeoChemistry(IAGC), and associate editor of both Applied Geochemistry andGeochemistry: Exploration, Environment, Analysis.
Peter Filzmoser (born 1968) studies Applied Mathematicsat the Vienna University of Technology, Austria, where he alsowrote his doctoral thesis and habilitation devoted to the field ofmultivariate statistics. His research led him to the area of robuststatistics, resulting in many international collaborations andvarious scientific papers in this area. His interest inapplications of robust methods resulted in the development of Rsoftware packages. He was and is involved in the Organisation ofseveral scientific evens devoted to robust statistics. Since 2001he has been dozent at the Statistics Department at ViennaUniversity of Technology. He was visiting professor at theuniversities of Vienna, Toulouse and Minsk.
Robert G. Garrett (Bob Garrett) studied Mining Geologyand Applied Geochemistry at Imperial College, London, and joinedthe Geological Survey of Canada (GSC) in 1967 followingpost-doctoral studies at Northwestern University, Evanston. For thenext 25 years his activities focused on regional geochemicalmapping in Canada, and overseas for the Canadian InternationalDevelopment Agency, to support mineral exploration and resourceappraisal. Throughout his work there has been a use of computersand statistics to manage data, assess their quality, and maximisethe knowledge extracted from them. In the 1990s he commencedcollaboration crops. Since then he has been involved in variousCanadian Federal and university-based research initiatives aimed atproviding sound science to support Canadian regulatory andinternational policy activities concerning risk assessments andrisk management for metals. he retired in March 2005 but remainsactive as an Emeritus Scientist.
Rudolf Dutter is senior statistician and full professorat Vienna University of Technology, Austria. he studies AppliedMathematics in Vienna (M.Sc.) and Statistics at Universite deMontreal, Canada (Ph.D.). He spent three years as a post-doctoralfellow at ETH, Zurich, working on computational robust statistics.research and teaching activities followed at the Graz University ofTechnology, and as a full professor of statistics at ViennaUniversity of Technology, both in Austria. he also taught andconsulted at Leoben Mining University, Technology, both in Austria.he also taught and consulted at Leoben Mining University, Austria;currently he consults in many fields of applied statistics withmain interests in computational and robust statistics, developmentof statistical software, and geostatistics. He is author andcoauthor of many publications and several books, e.g., an earlybooklet in German on geostatistics.



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