Statistics for censored environmental data using Minitab and R

This Second Edition solves a current dilemma that occurs across a wide spectrum of environmental science: how to correctly analyze and interpret censored data (data below detection limits). It adapts survival analysis methods and demonstrates their practical applications when studyingtrace chemicals...

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Bibliographic Details
Main Author: Helsel, Dennis R. (Author)
Format: Book
Language:English
Published: Hoboken, New Jersey : Wiley , c2012
Edition:2nd ed
Series:Wiley series in statistics in practice
Subjects:

MARC

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008 110816s2012 nju eng
020 |a 0470479884 (hardback : alk. paper) 
020 |a 9780470479889 (hardback : alk. paper) 
050 0 0 |a GE45.S73   |b H45 2012 
090 0 0 |a GE45.S73   |b H45 2012 
100 1 |a Helsel, Dennis R. ,   |e author 
245 1 0 |a Statistics for censored environmental data using Minitab and R   |c Dennis R. Helsel 
250 |a 2nd ed 
260 |a Hoboken, New Jersey :   |b Wiley ,   |c c2012 
300 |a xix, 324 p. :   |b ill. ;   |c 25 cm. 
490 1 |a Wiley series in statistics in practice 
500 |a Rev ed of: Nondetects and data analysis/Dennis R Helsel 2005 
504 |a Includes bibliographical references (p. 309-320) and index 
505 0 |a 1. Things people do with censored data that are just wrong -- 2. Three approaches for censored data -- 3. Reporting limits -- 4. Reporting, storing, and using censored data -- 5. Plotting censored data -- 6. Computing summary statistics and totals -- 7. Computing interval estimates -- 8. What can be done when all data are below the reporting limit? -- 9. Comparing two groups -- 10. Comparing three or more groups -- 11. Correlation -- 12. Regression and trends -- 13. Multivariate methods for censored data -- 14. The NADA for R software 
520 |a This Second Edition solves a current dilemma that occurs across a wide spectrum of environmental science: how to correctly analyze and interpret censored data (data below detection limits). It adapts survival analysis methods and demonstrates their practical applications when studyingtrace chemicals in air, water, soils, and biota 
650 0 |a Environmental sciences   |x Statistical methods 
650 0 |a Pollution   |x Measurement   |x Statistical methods 
650 0 |a R (Computer program language) 
700 1 |a Helsel, Dennis R. ,   |e author 
999 |a 1000149572   |b Book   |c OPEN SHELF (30 DAYS)   |e Gong Badak Campus