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Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Case Studies in Environmental Statistics

Monograph
Edited By: D Nychka, WW Piegorsch and L Cox
200 pages
Publisher: Springer Nature
Case Studies in Environmental Statistics
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  • Case Studies in Environmental Statistics ISBN: 9780387984780 Paperback Aug 1998 Not in stock: Usually dispatched within 1-2 weeks
    £89.99
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About this book

This book offers a set of case studies exemplifying the broad range of statistical science used in evnironmental 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 methodology and theory, and for courses in environmental science. Not only are these studies valuable for teaching about an essential cross-disciplinary activity, but also they can 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 organizations, 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. EPA on problems of great interest to environmental science and regulation, surely one of today's most important cross-disciplinary activities. Douglas Nychka is Professor of Statistics at North Carolina State University and currently the Directory of the Geophysical Statistics Project at the National Center for Atmospheric Research. He has made contributions to the modeling of ozone pollution and the design of monitoring networks and has been author on more than 40 scientific papers. Walter W. Piegorsch is Professor of Statistics at the University of South Carolina and studies problems in design and analysis of environmental toxicity studies, low-dose risk extrapolation, and combining environmental information.

Contents

1. Introduction: Problems in Environmental Monitoring and Assessment, Lawrence H. Cox, Douglas Nychka, and Walter W. Piegorsch. 2. Modeling Ozone in the Chicago Urban Area, Jerry M. Davis, Brian K. Elder, and Peter Bloomfield. 3. Regional and Temporal Models for Ozone Along the Gulf Coast, Jerry M. Davis, Brian K. Elder, and Peter Bloomfield. 4. Design of Air Quality Monitoring Networks, Douglas Nychka and Nancy Saltzman. 5. Estimating Trends in the Atmospheric Deposition of Pollutants, David Holland. 6. Airborne Particles and Mortality, Richard L. Smith, Jerry M. Davis, and P. Speckman. 7. Categorical Exposure-Response Regression Analysis of Toxicology Experiments, Minge Xie and Douglas Simpson. 8. Workshop: Statistical Methods for Combining Environmental Information, Lawrence H. Cox. Appendix A: FUNFITS, Data Analysis, and Statistical Tools for Estimating Functions, Douglas Nychka, Perry D. Haaland, Michael A.

Customer Reviews

Monograph
Edited By: D Nychka, WW Piegorsch and L Cox
200 pages
Publisher: Springer Nature
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