{"product_id":"9781118162767","title":"Statistics for Censored Environmental Data Using Minitab and R","description":"\u003cp\u003ePraise for the First Edition\u003c\/p\u003e \u003cp\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 —Vadose Zone Journal\u003c\/p\u003e \u003cp\u003eStatistical Methods 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.\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® into the discussed analyses, the book features newly developed and updated material including:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eA new chapter on multivariate methods for censored data\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eUse of interval-censored methods for treating true nondetects as lower than and separate from values between the detection and quantitation limits (\"remarked data\")\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eA section on summing data with nondetects\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eA newly written introduction that discusses invasive data, showing why substitution methods fail\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eExpanded coverage of graphical methods for censored data\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\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® 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\u003eStatistics 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47130108690672,"sku":"9781118162767","price":107.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781118162767_p0.jpg?v=1769887887","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781118162767","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}