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Case Studies in Environmental Statistics

  • Book
  • © 1998

Overview

Editors:
  1. Douglas Nychka

    1. Department of Statistics, North Carolina State University, Raleigh, USA

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  2. Walter W. Piegorsch

    1. Department of Statistics, University of South Carolina, Columbia, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Lawrence H. Cox

    1. U.S. Environmental Protection Agency, National Exposure Research Laboratory (MD-75), Research Triangle Park, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Statistics (LNS, volume 132)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xi
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  2. Introduction: Problems in Environmental Monitoring and Assessment

    • Lawrence H. Cox, Douglas Nychka, Walter W. Piegorsch
    Pages 1-4

  3. Modeling Ozone in the Chicago Urban Area

    • Jerry M. Davis, Brian K. Eder, Peter Bloomfield
    Pages 5-26

  4. Regional and Temporal Models for Ozone Along the Gulf Coast

    • Jerry M. Davis, Brian K. Eder, Peter Bloomfield
    Pages 27-50

  5. Design of Air-Quality Monitoring Networks

    • Douglas Nychka, Nancy Saltzman
    Pages 51-76

  6. Estimating Trends in the Atmospheric Deposition of Pollutants

    • David Holland
    Pages 77-90

  7. Airborne Particles and Mortality

    • Richard L. Smith, Jerry M. Davis, Paul Speckman
    Pages 91-120

  8. Categorical Exposure-Response Regression Analysis of Toxicology Experiments

    • Minge Xie, Douglas Simpson
    Pages 121-141

  9. Workshop: Statistical Methods for Combining Environmental Information

    • Lawrence H. Cox
    Pages 143-158

  10. Back Matter

    Pages 159-198
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Keywords

About this book

This book offers a set of case studies exemplifying the broad range of statis­ tical science used in environmental studies and application. The case studies can be used for graduate courses in environmental statistics, as a resource for courses in statistics using genuine examples to illustrate statistical methodol­ ogy and theory, and for courses in environmental science. Not only are these studies valuable for teaching about an essential cross-disciplinary activity but they can also be used to spur new research along directions exposed in these examples. The studies reported here resulted from a program of research carried on by the National Institute of Statistical Sciences (NISS) during the years 1992- 1996. NISS was created in 1991 as an initiative of the national statistics or­ ganizations, with the mission to renew and focus efforts of statistical science on important cross-disciplinary problems. One of NISS' first projects was a cooperative research effort with the U.S. Environmental Protection Agency (EPA) on problems of great interest to environmental science and regulation, surely one of today's most important cross-disciplinary activities. With the support and encouragement of Gary Foley, Director of the (then) U.S. EPA Atmospheric Research and Exposure Assessment Laboratory, a project and a research team were assembled by NISS that pursued a program which produced a set of results and products from which this book was drawn.

Editors and Affiliations

  • Department of Statistics, North Carolina State University, Raleigh, USA

    Douglas Nychka

  • Department of Statistics, University of South Carolina, Columbia, USA

    Walter W. Piegorsch

  • U.S. Environmental Protection Agency, National Exposure Research Laboratory (MD-75), Research Triangle Park, USA

    Lawrence H. Cox

Bibliographic Information

  • Book Title: Case Studies in Environmental Statistics

  • Editors: Douglas Nychka, Walter W. Piegorsch, Lawrence H. Cox

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-2226-2

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York, Inc. 1998

  • Softcover ISBN: 978-0-387-98478-0Published: 07 August 1998

  • eBook ISBN: 978-1-4612-2226-2Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: XI, 196

  • Topics: Statistics, general

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