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010   $a3-319-21326-1
024 7 $a10.1007/978-3-319-21326-2
035   $a(CKB)3710000000476863
035   $a(EBL)4178385
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035   $a(PQKBTitleCode)TC0001584452
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035   $a(PQKB)11359624
035   $a(DE-He213)978-3-319-21326-2
035   $a(MiAaPQ)EBC4178385
035   $a(PPN)190518898
035   $a(EXLCZ)993710000000476863
100   $a20150914d2016      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aDiscrete Biochronological Time Scales /$fby Jean Guex, Federico Galster, Øyvind Hammer
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (166 p.)
300   $aDescription based upon print version of record.
311   $a3-319-21325-3 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aBiochronological Scales -- Graph Theoretical Approach -- Interval Graphs and Stratigraphic Contradictions -- The UA Method and the Uagraph Program -- Transgressive-Regressive Cycles and Benthic Foraminifera -- Comparison Between the Uagraph and Conop Programs -- Lower Jurassic Radiolarian Biochronology and Evolutionary Rates -- Calibrating Biochronological Zones with Geochronology -- Statistical Pseudo-Improvements of the UA Method -- Conclusions.
330   $aThe object of this book is to explain how to create a synthesis of complex biostratigraphic data, and how to extract from such a synthesis a relative time scale based exclusively on the fossil content of sedimentary rocks. Such a time scale can be used to attribute relative ages to isolated fossil-bearing samples. The book is composed of 10 chapters together with several appendices. It is a totally revised version of ?Biochronological Correlations? published in 1991 and includes various new chapters. The book offers a solution for the theoretical problem of how fossils can be used to make reliable quantitative stratigraphic correlations in sedimentary geology. It also describes the use of highly efficient software along with several examples. The authors compare their theoretical model with 2 other relevant studies: probabilistic stratigraphy and constrained optimization (CONOP).
606   $aGeology?Statistical methods
606   $aPaleontology 
606   $aMathematical physics
606   $aQuantitative Geology$3https://scigraph.springernature.com/ontologies/product-market-codes/G17030
606   $aPaleontology$3https://scigraph.springernature.com/ontologies/product-market-codes/G39000
606   $aMathematical Applications in the Physical Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13120
615  0$aGeology?Statistical methods.
615  0$aPaleontology .
615  0$aMathematical physics.
615 14$aQuantitative Geology.
615 24$aPaleontology.
615 24$aMathematical Applications in the Physical Sciences.
676   $a550
700   $aGuex$b Jean$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058714
702   $aGalster$b Federico$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aHammer$b Øyvind$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910254125103321
996   $aDiscrete Biochronological Time Scales$92502028
997   $aUNINA