Statistical Applications for Environmental Analysis and Risk Assessment (Statistics in Practice)

Ofungwu, Joseph

ISBN 10: 1118634535 / ISBN 13: 9781118634530

Published by Wiley, 2014

About this Item

Statistical Applications for Environmental Analysis and Risk Assessment guides readers through real-world situations and the best statistical methods used to determine the nature and extent of the problem, evaluate the potential human health and ecological risks, and design and implement remedial systems as necessary. Series: Statistics in Practice. Num Pages: 648 pages, illustrations (black and white). BIC Classification: PBT; RN. Category: (P) Professional & Vocational. Dimension: 189 x 261 x 39. Weight in Grams: 1262. . 2014. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

Seller Inventory # V9781118634530

Bibliographic Details

• Title: Statistical Applications for Environmental Analysis and Risk Assessment (Statistics in Practice)
• Publisher: Wiley
• Publication Date: 2014
• Language: English
• ISBN 10: 1118634535
• ISBN 13: 9781118634530
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Statistical Applications for Environmental Analysis and Risk Assessment guides readers through real-world situations and the best statistical methods used to determine the nature and extent of the problem, evaluate the potential human health and ecological risks, and design and implement remedial systems as necessary. Featuring numerous worked examples using actual data and “ready-made” software scripts, Statistical Applications for Environmental Analysis and Risk Assessment also includes:

• Descriptions of basic statistical concepts and principles in an informal style that does not presume prior familiarity with the subject

• Detailed illustrations of statistical applications in the environmental and related water resources fields using real-world data in the contexts that would typically be encountered by practitioners

• Software scripts using the high-powered statistical software system, R, and supplemented by USEPA’s ProUCL and USDOE’s VSP software packages, which are all freely available

• Coverage of frequent data sample issues such as non-detects, outliers, skewness, sustained and cyclical trend that habitually plague environmental data samples

• Clear demonstrations of the crucial, but often overlooked, role of statistics in environmental sampling design and subsequent exposure risk assessment.

About the Author

Joseph Ofungwu, PhD, is an environmental professional with over eighteen years of hands-on experience in environmental practice, including contaminant impact analysis, human health and ecological risk assessment, pollutant fate and transport modeling in ambient air, soil, ground and surface water. Dr. Ofungwu is also Visiting Assistant Professor with the Urban Environmental Systems Management Program at Pratt Institute and teaches statistics courses for professional engineer license maintenance requirements.