LEADER 03872nam 22005894a 450 001 9910876993103321 005 20200520144314.0 010 $a1-280-27464-6 010 $a9786610274642 010 $a0-470-01223-4 010 $a0-470-01222-6 035 $a(CKB)1000000000239299 035 $a(EBL)232672 035 $a(OCoLC)475938742 035 $a(SSID)ssj0000103117 035 $a(PQKBManifestationID)11140187 035 $a(PQKBTitleCode)TC0000103117 035 $a(PQKBWorkID)10060824 035 $a(PQKB)11348677 035 $a(MiAaPQ)EBC232672 035 $a(PPN)158176448 035 $a(EXLCZ)991000000000239299 100 $a20040827d2005 uy 0 101 0 $aeng 135 $aur|n||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAnalyzing environmental data /$fWalter W. Piegorsch, A. John Bailer 210 $aChichester, West Sussex, England ;$aHoboken, NJ $cWiley$dc2005 215 $a1 online resource (xv, 496 pages) $cillustrations 300 $aDescription based upon print version of record. 320 $aIncludes bibliographical references (p. [447]-471) and indexes. 327 $aLinear regression -- Nonlinear regression -- Generalized linear models -- Quantitative risk assessment with stimulus-response data -- Temporal data and autoregressive modeling -- Spatially correlated data -- Combining environmental information -- Fundamentals of environmental sampling -- A. Review of probability and statistical inference 330 $aEnvironmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over public and ecological health and the continuing need to support environmental policy-making and regulation have driven a concurrent explosion in environmental data analysis. This textbook is designed to address the need for trained professionals in this area. The book is based on a course which the authors have taught for many years, and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of data evaluation. The text extends beyond the introductory level, allowing students and environmental science practitioners to develop the expertise to design and perform sophisticated environmental data analyses. 330 $aIn particular, it: Provides a coherent introduction to intermediate and advanced methods for modeling and analyzing environmental data - Takes a data-oriented approach to describing the various methods - Illustrates the methods with real-world examples - Features extensive exercises, enabling use as a course text.Includes examples of SAS computer code for implementation of the statistical methods - Connects to a Web site featuring solutions to exercises, extra computer code, and additional material - Serves as an overview of methods for analyzing environmental data, enabling use as a reference text for environmental science professionals.Graduate students of statistics studying environmental data analysis will find this invaluable as will practicing data analysts and environmental scientists including specialists in atmospheric science, biology and biomedicine, chemistry, ecology, environmental health, geography, and geology. 606 $aEnvironmental sampling 606 $aRegression analysis 606 $aCorrelation (Statistics) 615 0$aEnvironmental sampling. 615 0$aRegression analysis. 615 0$aCorrelation (Statistics) 676 $a363.7/0072/7 700 $aPiegorsch$b Walter W$0292437 701 $aBailer$b A. John$0719203 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910876993103321 996 $aAnalyzing environmental data$91395968 997 $aUNINA