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010   $a1-282-35011-0
010   $a9786612350115
010   $a0-470-98760-X
010   $a0-470-98759-6
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100   $a20080205d2008      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aStatistical data analysis explained $eapplied environmental statistics with R /$fClemens Reimann ... [et al.]
210   $aChichester, England ;$aHoboken, NJ $cJohn Wiley & Sons$dc2008
215   $a1 online resource (371 p.)
300   $aDescription based upon print version of record
311   $a0-470-98581-X 
320   $aIncludes bibliographical references (p. [321]-335) and index.
327   $aStatistical Data Analysis Explained Applied Environmental Statistics with R; Contents; Preface; Acknowledgements; About the authors; 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
327   $a10 Improving Data Behaviour for Statistical Analysis: Ranking and Transformations11 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); 19 Introduction to R and Structure of the DAS+R Graphical User Interface; References; Index
330   $aFew books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application
606   $aEnvironmental sciences$xStatistical methods
606   $aEnvironmental sciences$xData processing
606   $aR (Computer program language)
615  0$aEnvironmental sciences$xStatistical methods.
615  0$aEnvironmental sciences$xData processing.
615  0$aR (Computer program language)
676   $a519.5
701   $aReimann$b Clemens$f1952-$0856401
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910144536503321
996   $aStatistical data analysis explained$91912565
997   $aUNINA