LEADER 04119nam  22007095  450 
001 9910299771103321
005 20230717174411.0
010   $a3-319-19039-3
024 7 $a10.1007/978-3-319-19039-6
035   $a(CKB)3710000000422019
035   $a(EBL)2095784
035   $a(SSID)ssj0001524745
035   $a(PQKBManifestationID)11802093
035   $a(PQKBTitleCode)TC0001524745
035   $a(PQKBWorkID)11484846
035   $a(PQKB)10472923
035   $a(DE-He213)978-3-319-19039-6
035   $a(MiAaPQ)EBC2095784
035   $a(PPN)18639778X
035   $a(EXLCZ)993710000000422019
100   $a20150601d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aMarshall Olkin Distributions - Advances in Theory and Applications $eBologna, Italy, October 2013 /$fedited by Umberto Cherubini, Fabrizio Durante, Sabrina Mulinacci
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (126 p.)
225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v141
300   $aDescription based upon print version of record.
311   $a3-319-19038-5 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aA Survey of Dynamic Representations and Generalizations of the Marshall?Olkin Distribution German Bernhart, Lexuri Fernández, Jan-Frederik Mai, Steffen Schenk , and Matthias Scherer -- Copulas Based on Marshall?Olkin Machinery by Fabrizio Durante and Stéphane Girard, and Gildas Mazo -- The mean of Marshall?Olkin dependent exponential random  by Lexuri Fernández and Jan-Frederik Mai and Matthias Scherer -- General Marshall-Olkin Models, Dependence Orders and Comparisons of Environmental Processes by Esther Frostig and Franco Pellerey -- Marshall-Olkin Machinery and Power Mixing: the Mixed Generalized Marshall-Olkin Distribution by Sabrina Mulinacci -- Extended Marshall-Olkin Model and Its Dual Version by Jayme Pinto and Nikolai Kolev.
330   $aThis book presents the latest advances in the theory and practice of Marshall-Olkin distributions. These distributions have been increasingly applied in statistical practice in recent years, as they make it possible to describe interesting features of stochastic models like non-exchangeability, tail dependencies and the presence of a singular component. The book presents cutting-edge contributions in this research area, with a particular emphasis on financial and economic applications. It is recommended for researchers working in applied probability and statistics, as well as for practitioners interested in the use of stochastic models in economics. This volume collects selected contributions from the conference ?Marshall-Olkin Distributions: Advances in Theory and Applications,? held in Bologna on October 2-3, 2013.
410  0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v141
606   $aStatistics
606   $aMathematics
606   $aEconometrics
606   $aStatistical Theory and Methods
606   $aApplications of Mathematics
606   $aEconometrics
606   $aStatistics in Business, Management, Economics, Finance, Insurance
615  0$aStatistics.
615  0$aMathematics.
615  0$aEconometrics.
615 14$aStatistical Theory and Methods.
615 24$aApplications of Mathematics.
615 24$aEconometrics.
615 24$aStatistics in Business, Management, Economics, Finance, Insurance.
676   $a519.24
702   $aCherubini$b Umberto$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aDurante$b Fabrizio$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aMulinacci$b Sabrina$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299771103321
996   $aMarshall-Olkin distributions - Advances in theory and applications$91522680
997   $aUNINA