Case Studies in Environmental Statistics

  • Douglas Nychka
  • Walter W. Piegorsch
  • Lawrence H. Cox

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

Table of contents

  1. Front Matter
    Pages i-xi
  2. Lawrence H. Cox, Douglas Nychka, Walter W. Piegorsch
    Pages 1-4
  3. Jerry M. Davis, Brian K. Eder, Peter Bloomfield
    Pages 5-26
  4. Jerry M. Davis, Brian K. Eder, Peter Bloomfield
    Pages 27-50
  5. Douglas Nychka, Nancy Saltzman
    Pages 51-76
  6. Richard L. Smith, Jerry M. Davis, Paul Speckman
    Pages 91-120
  7. Back Matter
    Pages 159-198

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.


Project Statistica Variance censoring cluster analysis data analysis design environmental monitoring form function monitor organization regression analysis set statistics

Editors and affiliations

  • Douglas Nychka
    • 1
  • Walter W. Piegorsch
    • 2
  • Lawrence H. Cox
    • 3
  1. 1.Department of StatisticsNorth Carolina State UniversityRaleighUSA
  2. 2.Department of StatisticsUniversity of South CarolinaColumbiaUSA
  3. 3.U.S. Environmental Protection AgencyNational Exposure Research Laboratory (MD-75)Research Triangle ParkUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 1998
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-98478-0
  • Online ISBN 978-1-4612-2226-2
  • Series Print ISSN 0930-0325
  • Buy this book on publisher's site
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