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Environmental statistics : methods and applications / Vic Barnett.

By: Material type: TextTextSeries: Wiley series in probability and statisticsPublisher: New York : J. Wiley, c2004Description: xi, 293 p. : 24 cmISBN:
  • 0471489719 (acidfree paper)
Subject(s): DDC classification:
  • 519.5 22
LOC classification:
  • QA276 .B28484 2004
Contents:
Ch. 1. Introduction -- Pt. I. Extremal Stresses: Extremes, outliers, robustness -- Ch. 2. Ordering and Extremes: Applications, models, inference -- Ch. 3. Outliers and Robustness -- Pt. II. Collecting environmental data: Sampling and monitoring -- Ch. 4. Finite-Population Sampling -- Ch. 5. Inaccessible and Sensitive Data -- Ch. 6. Sampling in the Wild -- Pt. III. Examining environmental effects: Stimulus - response relationships -- Ch. 7. Relationship: regression-type models and methods -- Ch. 8. Special Relationship Models, Including Quantal Response and Repeated Measures -- Pt. IV. Standards and Regulations -- Ch. 9. Environmental Standards -- Pt. V. A many-dimensional environment: Spatial and temporal processes -- Ch. 10. Time-Series Methods -- Ch. 11. Spatial Methods for Environmental Processes.
Summary: "In modern society, we are ever more aware of the environmental issues we face, whether these relate to global warming, depletion of rivers and oceans, despoliation of forests, pollution of land, poor air quality, environmental health issues, etc. At the most fundamental level it is necessary to monitor what is happening in the environment ࣯llecting data to describe the changing scene. More importantly, it is crucial to formally describe the environment with sound and validated models, and to analyse and interpret the data we obtain in order to take action. ; ; Environmental Statistics provides a broad overview of the statistical methodology used in the study of the environment, written in an accessible style by a leading authority on the subject. It serves as both a textbook for students of environmental statistics, as well as a comprehensive source of reference for anyone working in statistical investigation of environmental issues.; ; ; ; ; Provides broad coverage of the methodology used in the statistical investigation of environmental issues.; ; Covers a wide range of key topics, including sampling, methods for extreme data, outliers and robustness, relationship models and methods, time series, spatial analysis, and environmental standards.; ; Includes many detailed practical and worked examples that illustrate the applications of statistical methods in environmental issues.; ; Authored by a leading authority on environmental statistics.; ; ;"--Publisher description.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 519.5 BAR (Browse shelf(Opens below)) 1 Available A418469B

Includes bibliographical references and index.

Ch. 1. Introduction -- Pt. I. Extremal Stresses: Extremes, outliers, robustness -- Ch. 2. Ordering and Extremes: Applications, models, inference -- Ch. 3. Outliers and Robustness -- Pt. II. Collecting environmental data: Sampling and monitoring -- Ch. 4. Finite-Population Sampling -- Ch. 5. Inaccessible and Sensitive Data -- Ch. 6. Sampling in the Wild -- Pt. III. Examining environmental effects: Stimulus - response relationships -- Ch. 7. Relationship: regression-type models and methods -- Ch. 8. Special Relationship Models, Including Quantal Response and Repeated Measures -- Pt. IV. Standards and Regulations -- Ch. 9. Environmental Standards -- Pt. V. A many-dimensional environment: Spatial and temporal processes -- Ch. 10. Time-Series Methods -- Ch. 11. Spatial Methods for Environmental Processes.

"In modern society, we are ever more aware of the environmental issues we face, whether these relate to global warming, depletion of rivers and oceans, despoliation of forests, pollution of land, poor air quality, environmental health issues, etc. At the most fundamental level it is necessary to monitor what is happening in the environment ࣯llecting data to describe the changing scene. More importantly, it is crucial to formally describe the environment with sound and validated models, and to analyse and interpret the data we obtain in order to take action. ; ; Environmental Statistics provides a broad overview of the statistical methodology used in the study of the environment, written in an accessible style by a leading authority on the subject. It serves as both a textbook for students of environmental statistics, as well as a comprehensive source of reference for anyone working in statistical investigation of environmental issues.; ; ; ; ; Provides broad coverage of the methodology used in the statistical investigation of environmental issues.; ; Covers a wide range of key topics, including sampling, methods for extreme data, outliers and robustness, relationship models and methods, time series, spatial analysis, and environmental standards.; ; Includes many detailed practical and worked examples that illustrate the applications of statistical methods in environmental issues.; ; Authored by a leading authority on environmental statistics.; ; ;"--Publisher description.

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