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Statistical Analysis of Environmental Space-Time Processes
Nhu D. LeJames V. Zidek
出版Springer Science & Business Media, 2006-09-13
主題Science / Environmental ScienceScience / Chemistry / EnvironmentalMedical / EpidemiologyScience / Earth Sciences / GeneralMathematics / Probability & Statistics / GeneralTechnology & Engineering / Environmental / GeneralScience / Chemistry / General
ISBN03873542989780387354293
URLhttp://books.google.com.hk/books?id=I9IpfL_BrbsC&hl=&source=gbs_api
EBookSAMPLE
註釋This book presents knowledge gained by the authors along with methods they developed, over more than 30 years of experience measuring, mod- ing, and mapping environmental space–time ?elds. That experience embraces both large (continentwide) spatial domains and small. In part it comes from their research, working with students as well as coinvestigators. But much was gained from all sorts of interactions with many individuals who have had to contend with the challenges these ?elds present. They include statistical as well as subject area scientists, in areas as diverse as analytical chemistry, airsampling,atmosphericscience,environmentalepidemiology,environmental risk management, and occupational health among others. We have colla- rated and consulted with government scientists as well as policy-makers, in all,alargegroupofindividualsfromwhomwehavelearnedalotandtowhom we are indebted. We hope all in these diverse groups will ?nd something of value in this book. We believe it will also bene?t graduate students, both in statistics and subject areas who must deal with the analysis of environmental ?elds. In fact we have given a successful statistics graduate course based on it. The book (and course) re?ect our conviction about the need for statistical scientiststolearnaboutthephenomenatheypurporttoexplain. Totheextent feasible, we have covered important nonstatistical issues involved in dealing with environmental processes. Thus in writing the book we have tried to strike a balance between important qualitative and quantitative aspects of the subject. Much of the most technical statistical-mathematical material has been placed in the starred sections, chapters, and appendices.