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024 7 $a10.1007/978-3-319-05801-6
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035   $a(DE-He213)978-3-319-05801-6
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100   $a20140606d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 14$aThe Work of Raymond J. Carroll $eThe Impact and Influence of a Statistician /$fedited by Marie Davidian, Xihong Lin, Jeffrey S. Morris, Leonard A. Stefanski
205   $a1st ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (599 p.)
300   $aDescription based upon print version of record.
311   $a1-322-13471-5 
311   $a3-319-05800-2 
320   $aIncludes bibliographical references.
327   $aMeasurement Error -- Transformation and Weighting -- Epidemiology -- Nonparametric and Semiparametric Regression for Independent Data -- Nonparametric and Semiparametric Regression for Dependent Data -- Robustness -- Other Work Article list for each of these areas is in attachment.
330   $aThis volume contains Raymond J. Carroll's research and commentary on its impact by leading statisticians. Each of the seven main parts focuses on a key research area: Measurement Error, Transformation and Weighting, Epidemiology, Nonparametric and Semiparametric Regression for Independent Data, Nonparametric and Semiparametric Regression for Dependent Data, Robustness, and other work. The seven subject areas reviewed in this book were chosen by Ray himself, as were the articles representing each area. The commentaries not only review Ray?s work, but are also filled with history and anecdotes. Raymond J. Carroll?s impact on statistics and numerous other fields of science is far-reaching. His vast catalog of work spans from fundamental contributions to statistical theory to innovative methodological development and new insights in disciplinary science. From the outset of his career, rather than taking the ?safe? route of pursuing incremental advances, Ray has focused on tackling the most important challenges. In doing so, it is fair to say that he has defined a host of statistics areas, including weighting and transformation in regression, measurement error modeling, quantitative methods for nutritional epidemiology and non- and semiparametric regression.
606   $aStatistics 
606   $aEpidemiology
606   $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001
606   $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030
606   $aEpidemiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H63000
615  0$aStatistics .
615  0$aEpidemiology.
615 14$aStatistical Theory and Methods.
615 24$aStatistics for Life Sciences, Medicine, Health Sciences.
615 24$aEpidemiology.
676   $a519.5092
702   $aDavidian$b Marie$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aLin$b Xihong$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aMorris$b Jeffrey S$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aStefanski$b Leonard A$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910299986803321
996   $aThe Work of Raymond J. Carroll$92544808
997   $aUNINA