LEADER 02466nam 2200589Ia 450 001 9910458806203321 005 20200520144314.0 010 $a1-282-91766-8 010 $a9786612917660 010 $a0-19-972065-7 035 $a(CKB)2670000000060691 035 $a(EBL)618599 035 $a(OCoLC)692196959 035 $a(SSID)ssj0000416657 035 $a(PQKBManifestationID)12182436 035 $a(PQKBTitleCode)TC0000416657 035 $a(PQKBWorkID)10421692 035 $a(PQKB)10054610 035 $a(MiAaPQ)EBC618599 035 $a(Au-PeEL)EBL618599 035 $a(CaPaEBR)ebr10432481 035 $a(CaONFJC)MIL291766 035 $a(EXLCZ)992670000000060691 100 $a20090206d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aElements of structured finance$b[electronic resource] /$fAnn Rutledge and Sylvain Raynes ; with special contribution by Nenad Ilincic 210 $aOxford ;$aNew York $cOxford University Press$d2010 215 $a1 online resource (689 p.) 300 $aDescription based upon print version of record. 311 $a0-19-517998-6 320 $aIncludes bibliographical references and index. 327 $aContents; The Brave New World of Structured Finance; Part I: Intermediate Structured Analysis; Part II: Advanced Structured Analysis; Epilogue; Notes; Index 330 $aFor all but the most credit-worthy companies, it is more efficient to finance large pools of assets that have predictable behavioral characteristics through non-standard arrangements. These off-balance sheet structures allow credit exposures to be tailored to investor risk, asset class, and an ever-increasing diversity of idiosyncratic needs on the part of issuers and investors. The discipline that addresses these structures, which is called structured finance or securitization, is almost twenty years old, and has become a ubiquitous element of modern financial management. Yet, it has not been 606 $aFinance 606 $aRisk management 608 $aElectronic books. 615 0$aFinance. 615 0$aRisk management. 676 $a332 700 $aRutledge$b Ann$0284233 701 $aRaynes$b Sylvain$0284232 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458806203321 996 $aElements of structured finance$92024973 997 $aUNINA LEADER 04599nam 2200757 a 450 001 9910966839303321 005 20200520144314.0 010 $a9786612964831 010 $a9781282964839 010 $a1282964836 010 $a9781400837717 010 $a1400837715 024 7 $a10.1515/9781400837717 035 $a(CKB)2550000001251865 035 $a(EBL)664553 035 $a(OCoLC)705945746 035 $a(SSID)ssj0000469786 035 $a(PQKBManifestationID)11330405 035 $a(PQKBTitleCode)TC0000469786 035 $a(PQKBWorkID)10512067 035 $a(PQKB)11585764 035 $a(MdBmJHUP)muse36863 035 $a(WaSeSS)Ind00023449 035 $a(DE-B1597)446836 035 $a(OCoLC)979905233 035 $a(DE-B1597)9781400837717 035 $a(Au-PeEL)EBL664553 035 $a(CaPaEBR)ebr10443111 035 $a(CaONFJC)MIL296483 035 $a(PPN)19924457X 035 $a(FR-PaCSA)88838028 035 $a(MiAaPQ)EBC664553 035 $a(Perlego)734988 035 $a(FRCYB88838028)88838028 035 $a(EXLCZ)992550000001251865 100 $a20041206d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHandbook of capture-recapture analysis /$fedited by Steven C. Amstrup, Trent L. McDonald, and Bryan F.J. Manly 205 $aCourse Book 210 $aPrinceton, N.J. $cPrinceton University Press$dc2005 215 $a1 online resource (334 p.) 300 $aDescription based upon print version of record. 311 08$a9780691089683 311 08$a069108968X 311 08$a9780691089676 311 08$a0691089671 320 $aIncludes bibliographical references (p. [281]-299) and index. 327 $gIntroduction to the handbook /$rBryan F.J. Manly ... [et al.] --$tClassical closed-population capture-recapture models /$rAnne Chao, Richard M. Huggins --$tClassical open-population capture-recapture models /$rKenneth H. Pollock, Russell Alpizar-Jara --$tModern closed-population capture-recapture models /$rAnne Chao, Richard M. Huggins --$tModern open-population capture-recapture models /$rJames D. Nichols --$tTag-recovery models /$rJohn M. Hoenig ... [et al.] --$tJoint modeling of tag-recovery and live-resighting data /$rRichard J. Barker --$tMultistate models /$rCarl J. Schwarz --$tExamples /$rTrent L. McDonald ... [et al.] --$tCapture-recapture methods in practice /$rBryan F.J. Manly ... [et al.] --$gAppendix --$gA.1.$tCapability matrix for common capture-recapture software packages --$gA.2.$tGeneral and contact information for common capture-recapture software packages listed in Table A.1. 330 $aEvery day, biologists in parkas, raincoats, and rubber boots go into the field to capture and mark a variety of animal species. Back in the office, statisticians create analytical models for the field biologists' data. But many times, representatives of the two professions do not fully understand one another's roles. This book bridges this gap by helping biologists understand state-of-the-art statistical methods for analyzing capture-recapture data. In so doing, statisticians will also become more familiar with the design of field studies and with the real-life issues facing biologists. Reliable outcomes of capture-recapture studies are vital to answering key ecological questions. Is the population increasing or decreasing? Do more or fewer animals have a particular characteristic? In answering these questions, biologists cannot hope to capture and mark entire populations. And frequently, the populations change unpredictably during a study. Thus, increasingly sophisticated models have been employed to convert data into answers to ecological questions. This book, by experts in capture-recapture analysis, introduces the most up-to-date methods for data analysis while explaining the theory behind those methods. Thorough, concise, and portable, it will be immensely useful to biologists, biometricians, and statisticians, students in both fields, and anyone else engaged in the capture-recapture process. 606 $aAnimal populations$xMathematical models 615 0$aAnimal populations$xMathematical models. 676 $a591.7/88/015118 701 $aAmstrup$b Steven C$01143723 701 $aMcDonald$b Trent L.$f1965-$01798023 701 $aManly$b Bryan F. J.$f1944-$060344 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910966839303321 996 $aHandbook of capture-recapture analysis$94340592 997 $aUNINA