{"product_id":"statistics-for-censored-environmental-data-using-minitab-and-r-9780470479889","title":"Statistics for Censored Environmental Data Using Minitab and R","description":"\u003cp\u003e • Author(s): Dennis R. Helsel\u003cbr\u003e • Publisher: Wiley\u003cbr\u003e • Publisher Imprint: Wiley\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePraise for the \u003ci\u003eFirst Edition\u003c\/i\u003e\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003e\" . . . 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.\"\u003cbr\u003e \u003ci\u003e—Vadose Zone Journal\u003c\/i\u003e\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eStatistics for Censored Environmental Data Using Minitab\u003csup\u003e®\u003c\/sup\u003e and R, Second Edition\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eThis 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\u003csup\u003e®\u003c\/sup\u003e 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 data  \u003c\/p\u003e\u003cp\u003eThe 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\u003csup\u003e®\u003c\/sup\u003e and R software macros available on the book's related website, and extensive references direct readers to authoritative literature from the environmental sciences. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eStatistics for Censored Environmental Data Using Minitab\u003csup\u003e®\u003c\/sup\u003e and R, Second Edition\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Hardcover","offer_id":45201812914327,"sku":"9780470479889","price":12245.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780470479889.webp?v=1767307637","url":"https:\/\/atlanticbooks.com\/products\/statistics-for-censored-environmental-data-using-minitab-and-r-9780470479889","provider":"Atlantic Books","version":"1.0","type":"link"}