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＜電子ブック＞
Case Studies in Environmental Statistics / edited by Douglas Nychka, Walter W. Piegorsch, Lawrence H. Cox
(Lecture Notes in Statistics. ISSN:21977186 ; 132)

版	1st ed. 1998.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	1998
大きさ	XI, 196 p : online resource
著者標目	Nychka, Douglas editor Piegorsch, Walter W editor Cox, Lawrence H editor SpringerLink (Online service)
件　名	LCSH:Statistics  FREE:Statistics
一般注記	1 Introduction: Problems in Environmental Monitoring and Assessment -- 1 Statistical Methods for Environmental Monitoring and Assessment -- 2 Outline of Case Studies -- 3 Sources of Data and Software -- Acknowledgments -- 2 Modeling Ozone in the Chicago Urban Area -- 1 Introduction -- 2 Data Sources -- 3 Trend Analysis and Adjustment -- 4 Trends from Semiparametric Models -- 5 Trends in Exceedances -- 6 Summary -- Acknowledgments -- References -- 3 Regional and Temporal Models for Ozone Along the Gulf Coast -- 1 Introduction -- 2 Diurnal Variation in Ozone -- 3 Meteorological Clusters and Ozone -- 4 Regional Variation in Ozone -- 5 Summary -- 6 Future Directions -- References -- 4 Design of Air-Quality Monitoring Networks -- 1 Introduction -- 2 Data -- 3 Spatial Models -- 4 Thinning a Small Urban Network -- 5 Adding Rural Stations to Northern Illinois -- 6 Modifying Regional Networks -- 7 Scientific Contributions and Discussion -- References -- 5 Estimating Trends in the Atmospheric Deposition of Pollutants -- 1 Introduction -- 2 Monitoring Data -- 3 Case Studies -- 4 Future Research -- Acknowledgment -- References -- 6 Airborne Particles and Mortality -- 1 Introduction -- 2 Statistical Studies of Particles and Mortality -- 3 An Example: Data from Birmingham, Alabama -- 4 Results for Birmingham -- 5 Comparisons with Other Cities -- 6 Conclusions: Accidental Association or Causal Connection -- References -- 7 Categorical Exposure-Response Regression Analysis of Toxicology Experiments -- 1 Introduction -- 2 The Tetrachloroethylene Database -- 3 Statistical Models for Exposure-Response Relationships -- 4 Computing Software: CatReg -- 5 Application to Tetrachloro ethylene Data -- 6 Conclusions -- 7 Future Directions -- Acknowledgments -- References -- 8 Workshop: Statistical Methods for Combining Environmental Information -- 1 The NISS-USEPA Workshop Series -- 2 Combining Environmental Information -- 3 Combining Environmental Epidemiology Information -- 4 Combining Environmental Assessment Information -- 5 Combining Environmental Monitoring Data -- 6 Future Directions -- References -- A Appendix A: FUNFITS, Data Analysis and Statistical Tools for Estimating Functions Douglas Nychka, Perry D. Haaland, Michael A. O’Connell, Stephen Ellner -- 1 Introduction -- 2 What’s So Special About FUNFITS? -- 2.1 An Example -- 3 A Basic Model for Regression -- 4 Thin-Plate Splines: tps -- 4.1 Determining the Smoothing Parameter -- 4.2 Approximate Splines for Large Data Sets -- 4.3 Standard Errors -- 5 Spatial Process Models: krig -- 5.1 Specifying the Covariance Function -- 5.2 Some Examples of Spatial Process Estimates -- Acknowledgments -- References -- B Appendix B: DI, A Design Interface for Constructing and Analyzing Spatial Designs Nancy Saltzman, Douglas Nychka -- 1 Introduction -- 2 An Example -- 3 How DI Works -- 3.1 Network Objects -- 3.2 The Design Editor -- 3.3 User Modifications -- C Appendix C: Workshops Sponsored Through the EPA/NISS Cooperative Agreement -- D Appendix D: Participating Scientists in the Cooperative Agreement 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 HTTP:URL=https://doi.org/10.1007/978-1-4612-2226-2

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