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Statistical Analysis of Environmental Space-Time Processes [Paperback]

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  • Category: Books (Science)
  • Author:  Le, Nhu D., Zidek, James V.
  • Author:  Le, Nhu D., Zidek, James V.
  • ISBN-10:  1441920862
  • ISBN-10:  1441920862
  • ISBN-13:  9781441920867
  • ISBN-13:  9781441920867
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-2010
  • Pub Date:  01-Feb-2010
  • SKU:  1441920862-11-SPRI
  • SKU:  1441920862-11-SPRI
  • Item ID: 100890251
  • List Price: $169.99
  • Seller: ShopSpell
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  • Delivery by: Jul 03 to Jul 05
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This book provides a broad introduction to the subject of environmental space-time processes, addressing the role of uncertainty. It covers a spectrum of technical matters from measurement to environmental epidemiology to risk assessment. It showcases non-stationary vector-valued processes, while treating stationarity as a special case. In particular, with members of their research group the authors developed within a hierarchical Bayesian framework, the new statistical approaches presented in the book for analyzing, modeling, and monitoring environmental spatio-temporal processes. Furthermore they indicate new directions for development.

This book provides a broad introduction to the subject of environmental space-time processes; addressing the role of uncertainty. Within that context, it covers a spectrum of technical matters from measurement to environmental epidemiology to risk assessment.

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 spacetime ?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 al3‚
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