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010   $a3-319-89635-0
024 7 $a10.1007/978-3-319-89635-9
035   $a(CKB)4100000007389538
035   $a(MiAaPQ)EBC5631507
035   $a(DE-He213)978-3-319-89635-9
035   $a(PPN)233799990
035   $a(EXLCZ)994100000007389538
100   $a20190109d2018      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aElements of Copula Modeling with R$b[electronic resource] /$fby Marius Hofert, Ivan Kojadinovic, Martin Mächler, Jun Yan
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (274 pages)
225 1 $aUse R!,$x2197-5736
311   $a3-319-89634-2 
327   $aPreface -- Introduction -- Copulas -- Classes and Families -- Estimation -- Graphical Diagnostics, Tests and Model Selection -- Ties, Time Series and Regression -- R and Package Versions -- References -- Index.
330   $aThis book introduces the main theoretical findings related to copulas and shows how statistical modeling of multivariate continuous distributions using copulas can be carried out in the R statistical environment with the package copula (among others). Copulas are multivariate distribution functions with standard uniform univariate margins. They are increasingly applied to modeling dependence among random variables in fields such as risk management, actuarial science, insurance, finance, engineering, hydrology, climatology, and meteorology, to name a few. In the spirit of the Use R! series, each chapter combines key theoretical definitions or results with illustrations in R. Aimed at statisticians, actuaries, risk managers, engineers and environmental scientists wanting to learn about the theory and practice of copula modeling using R without an overwhelming amount of mathematics, the book can also be used for teaching a course on copula modeling.
410  0$aUse R!,$x2197-5736
606   $aStatistics 
606   $aEconomics, Mathematical 
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aComputer software
606   $aR (Computer program language)
606   $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010
606   $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020
606   $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008
606   $aQuantitative Finance$3https://scigraph.springernature.com/ontologies/product-market-codes/M13062
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
606   $aMathematical Software$3https://scigraph.springernature.com/ontologies/product-market-codes/M14042
615  0$aStatistics .
615  0$aEconomics, Mathematical .
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615  0$aComputer software.
615  0$aR (Computer program language).
615 14$aStatistics for Business, Management, Economics, Finance, Insurance.
615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
615 24$aStatistics and Computing/Statistics Programs.
615 24$aQuantitative Finance.
615 24$aMathematical and Computational Engineering.
615 24$aMathematical Software.
676   $a519.535
700   $aHofert$b Marius$4aut$4http://id.loc.gov/vocabulary/relators/aut$0906922
702   $aKojadinovic$b Ivan$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aMächler$b Martin$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aYan$b Jun$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910309664603321
996   $aElements of Copula Modeling with R$92028771
997   $aUNINA