Isbn: 9780470479889 - statistics for censored environmental data using minitab and r (statistics in practice) (26 resultados)

hardcover. Condición: Befriedigend. 344 Seiten; 9780470479889.4 Gewicht in Gramm: 1.

Condición: good. This copy does have writing.

hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: new.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. In English.

Condición: New.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. pp. xix + 324 Illus.

Hardback. Condición: New. Praise for the First Edition " . . . an excellent addition to an upper-level undergraduate course on environmental statistics, and . . . a 'must-have' desk reference for environmental practitioners dealing with censored datasets."-Vadose Zone Journal Statistics for Censored Environmental Data Using Minitab® and R, Second Edition introduces and explains methods for analyzing and interpreting censored data in the environmental sciences. Adapting survival analysis techniques from other fields, the book translates well-established methods from other disciplines into new solutions for environmental studies. This new edition applies methods of survival analysis, including methods for interval-censored data to the interpretation of low-level contaminants in environmental sciences and occupational health. Now incorporating the freely available R software as well as Minitab® into the discussed analyses, the book features newly developed and updated material including: A new chapter on multivariate methods for censored dataUse of interval-censored methods for treating true nondetects as lower than and separate from values between the detection and quantitation limits ("remarked data")A section on summing data with nondetectsA newly written introduction that discusses invasive data, showing why substitution methods failExpanded coverage of graphical methods for censored data The author writes in a style that focuses on applications rather than derivations, with chapters organized by key objectives such as computing intervals, comparing groups, and correlation. Examples accompany each procedure, utilizing real-world data that can be analyzed using the Minitab® and R software macros available on the book's related website, and extensive references direct readers to authoritative literature from the environmental sciences. Statistics for Censored Environmental Data Using Minitab® and R, Second Edition is an excellent book for courses on environmental statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for??environmental professionals, biologists, and ecologists who focus on the water sciences, air quality, and soil science.…

Condición: New. 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 studying trace chemicals in air, water, soils, and biota. Num Pages: 344 pages, Illustrations. BIC Classification: PBT; RN; RP. Category: (P) Professional & Vocational. Dimension: 176 x 240 x 23. Weight in Grams: 612. . 2012. 2nd Edition. Hardcover. . . . .…

Condición: New. pp. xix + 324 Index 2nd Edition.

Hardcover. Condición: Brand New. 2nd edition. 362 pages. 9.30x6.40x1.00 inches. In Stock.

Gebunden. Condición: New. Dennis R. Helsel, PhD, is owner and Principal Scientist of Practical Stats, where he designs and conducts training courses in environmental statistics for scientists. He has over thirty years of experience working with the U.S. Geological Survey and is the .

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condición: New. 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 studying trace chemicals in air, water, soils, and biota. Num Pages: 344 pages, Illustrations. BIC Classification: PBT; RN; RP. Category: (P) Professional & Vocational. Dimension: 176 x 240 x 23. Weight in Grams: 612. . 2012. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Condición: Neu. Neuware - Praise for the First Edition' . . . an excellent addition to an upper-level undergraduate course on environmental statistics, and . . . a 'must-have' desk reference for environmental practitioners dealing with censored datasets.'-Vadose Zone JournalStatistical Methods for Censored Environmental Data Using Minitab(r) and R, Second Edition introduces and explains methods for analyzing and interpreting censored data in the environmental sciences. Adapting survival analysis techniques from other fields, the book translates well-established methods from other disciplines into new solutions for environmental studies.This new edition applies methods of survival analysis, including methods for interval-censored data to the interpretation of low-level contaminants in environmental sciences and occupational health. Now incorporating the freely available R software as well as Minitab(r) into the discussed analyses, the book features newly developed and updated material including:\* A new chapter on multivariate methods for censored data\* Use of interval-censored methods for treating true nondetects as lower than and separate from values between the detection and quantitation limits ('remarked data')\* A section on summing data with nondetects\* A newly written introduction that discusses invasive data, showing why substitution methods fail\* Expanded coverage of graphical methods for censored dataThe author writes in a style that focuses on applications rather than derivations, with chapters organized by key objectives such as computing intervals, comparing groups, and correlation. Examples accompany each procedure, utilizing real-world data that can be analyzed using the Minitab(r) and R software macros available on the book's related website, and extensive references direct readers to authoritative literature from the environmental sciences.Statistics for Censored Environmental Data Using Minitab(r) and R, Second Edition is an excellent book for courses on environmental statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for¿environmental professionals, biologists, and ecologists who focus on the water sciences, air quality, and soil science.…

Hardback. Condición: New. Praise for the First Edition " . . . an excellent addition to an upper-level undergraduate course on environmental statistics, and . . . a 'must-have' desk reference for environmental practitioners dealing with censored datasets."-Vadose Zone Journal Statistics for Censored Environmental Data Using Minitab® and R, Second Edition introduces and explains methods for analyzing and interpreting censored data in the environmental sciences. Adapting survival analysis techniques from other fields, the book translates well-established methods from other disciplines into new solutions for environmental studies. This new edition applies methods of survival analysis, including methods for interval-censored data to the interpretation of low-level contaminants in environmental sciences and occupational health. Now incorporating the freely available R software as well as Minitab® into the discussed analyses, the book features newly developed and updated material including: A new chapter on multivariate methods for censored dataUse of interval-censored methods for treating true nondetects as lower than and separate from values between the detection and quantitation limits ("remarked data")A section on summing data with nondetectsA newly written introduction that discusses invasive data, showing why substitution methods failExpanded coverage of graphical methods for censored data The author writes in a style that focuses on applications rather than derivations, with chapters organized by key objectives such as computing intervals, comparing groups, and correlation. Examples accompany each procedure, utilizing real-world data that can be analyzed using the Minitab® and R software macros available on the book's related website, and extensive references direct readers to authoritative literature from the environmental sciences. Statistics for Censored Environmental Data Using Minitab® and R, Second Edition is an excellent book for courses on environmental statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for??environmental professionals, biologists, and ecologists who focus on the water sciences, air quality, and soil science.…

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 644.

Hardcover. Condición: Brand New. 2nd edition. 362 pages. 9.30x6.40x1.00 inches. In Stock. This item is printed on demand.

Hardcover. Condición: new. Hardcover. Praise for the First Edition " . . . an excellent addition to an upper-level undergraduate course on environmental statistics, and . . . a 'must-have' desk reference for environmental practitioners dealing with censored datasets."Vadose Zone Journal Statistics for Censored Environmental Data Using Minitab and R, Second Edition introduces and explains methods for analyzing and interpreting censored data in the environmental sciences. Adapting survival analysis techniques from other fields, the book translates well-established methods from other disciplines into new solutions for environmental studies. This new edition applies methods of survival analysis, including methods for interval-censored data to the interpretation of low-level contaminants in environmental sciences and occupational health. Now incorporating the freely available R software as well as Minitab into the discussed analyses, the book features newly developed and updated material including: A new chapter on multivariate methods for censored dataUse of interval-censored methods for treating true nondetects as lower than and separate from values between the detection and quantitation limits ("remarked data")A section on summing data with nondetectsA newly written introduction that discusses invasive data, showing why substitution methods failExpanded coverage of graphical methods for censored data The author writes in a style that focuses on applications rather than derivations, with chapters organized by key objectives such as computing intervals, comparing groups, and correlation. Examples accompany each procedure, utilizing real-world data that can be analyzed using the Minitab and R software macros available on the book's related website, and extensive references direct readers to authoritative literature from the environmental sciences. Statistics for Censored Environmental Data Using Minitab and R, Second Edition is an excellent book for courses on environmental statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for??environmental professionals, biologists, and ecologists who focus on the water sciences, air quality, and soil science. 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 studying trace chemicals in air, water, soils, and biota. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condición: New. PRINT ON DEMAND pp. xix + 324 Acknowledgements.