LEADER 04452nam 2200697Ia 450 001 9910784717903321 005 20230417174547.0 010 $a0-19-756052-0 010 $a1-280-52713-7 010 $a9786610527137 010 $a0-19-535889-9 010 $a1-4294-0787-5 035 $a(CKB)1000000000406015 035 $a(EBL)271224 035 $a(OCoLC)270932816 035 $a(SSID)ssj0000128073 035 $a(PQKBManifestationID)11147845 035 $a(PQKBTitleCode)TC0000128073 035 $a(PQKBWorkID)10064184 035 $a(PQKB)11375441 035 $a(MiAaPQ)EBC271224 035 $a(StDuBDS)EDZ0002341666 035 $a(Au-PeEL)EBL271224 035 $a(CaPaEBR)ebr10142127 035 $a(CaONFJC)MIL52713 035 $a(OCoLC)936850575 035 $a(EXLCZ)991000000000406015 100 $a19930416d1993 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputers in geology $e25 years of progress /$feditors, John C. Davis, Ute Christina Herzfeld 210 1$aNew York :$cOxford University Press,$d1993. 215 $a1 online resource (316 pages) $cillustrations (black and white, and colour) 225 1 $aInternational Association for Mathematical Geology studies in mathematical geology ;$v5 300 $aPreviously issued in print: 1993. 311 0 $a0-19-508593-0 320 $aIncludes bibliographical references and index. 327 $aContents; 1. Introduction; 2. Weights of Evidence Modeling and Weighted Logistic Regression for Mineral Potential Mapping; 3. Gold Prospecting with Factorial Cokriging in the Limousin, France; 4. Recent Experiences with Prospector II; 5. Correspondence Analysis in Heavy Mineral Interpretation; 6. Mathematics Between Source and Trap: Uncertainty in Hydrocarbon Migration Modeling; 7. Risk Analysis of Petroleum Prospects; 8. Characteristic Analysis as an Oil Exploration Tool; 9. Information Management and Mapping System for Subsurface Stratigraphic Analysis 327 $a10. Automated Correlation Based on Markov Analysis of Vertical Successions and Walther's Law; 11. Milankovitch Cyclicity in the Stratigraphic Record-A Review; 12. Can the Ginsburg Model Generate Cycles?; 13. Quantitative Genetics in Paleontology: Evolution in Tertiary Ostracoda; 14. An Integrated Approach to Forward Modeling Carbonate Platform Development; 15. Principal Component Analysis of Three-Way Data; 16. A Solution to the Percentage-Data Problem in Petrology; 17. Amplitude and Phase in Map and Image Enhancement; 18. Fractals in Geosciences-Challenges and Concerns 327 $a19. An Executable Notation, with Illustrations from Elementary Crystallography; 20. Uncertainty in Geology; 21. Expert Systems in Environmental Geology; 22. From Multivariate Sampling to Thematic Maps with an Application to Marine Geochemistry; 23. The Kinematics of Paleo Landforms; 24. R. G .V. Eigen: Legendary Father of Mathematical Geology; Index 330 8 $aThis volume vividly demonstrates the importance and increasing breadth of quantitative methods in the earth sciences. With contributions from an international cast of leading practitioners, chapters cover a wide range of state-of-the-art methods and applications, including computer modeling and mapping techniques. Many chapters also contain reviews and extensive bibliographies which serve to make this an invaluable introduction to the entire field. In addition to its detailed presentations, the book includes chapters on the history of geomathematics and on R.G.V. Eigen, the "father" of mathematical geology. Written to commemorate the 25th anniversary of the International Association for Mathematical Geology, the book will be sought after by both practitioners and researchers in all branches of geology. 410 0$aStudies in mathematical geology ;$v5. 606 $aGeology$xData processing 606 $aGeology$xMathematics$xData processing 615 0$aGeology$xData processing. 615 0$aGeology$xMathematics$xData processing. 676 $a550.285 676 $a550/.285 676 $a551.0285 701 $aDavis$b John C$0204476 701 $aHerzfeld$b Ute Christina$01578941 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910784717903321 996 $aComputers in geology$93858640 997 $aUNINA LEADER 07043oam 22018494 450 001 9910967316103321 005 20250426111003.0 010 $a9786613825322 010 $a9781462374014 010 $a1462374018 010 $a9781452749129 010 $a1452749124 010 $a9781283512879 010 $a1283512874 010 $a9781451909364 010 $a1451909365 035 $a(CKB)3360000000443524 035 $a(EBL)3014510 035 $a(SSID)ssj0000940112 035 $a(PQKBManifestationID)11592417 035 $a(PQKBTitleCode)TC0000940112 035 $a(PQKBWorkID)10946535 035 $a(PQKB)11254795 035 $a(OCoLC)694141201 035 $a(IMF)WPIEE2006223 035 $a(MiAaPQ)EBC3014510 035 $a(IMF)WPIEA2006223 035 $aWPIEA2006223 035 $a(EXLCZ)993360000000443524 100 $a20020129d2006 uf 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDefault, Credit Growth, and Asset Prices /$fC. Goodhart, Miguel Segoviano, Boris Hofmann 205 $a1st ed. 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2006. 215 $a1 online resource (44 p.) 225 1 $aIMF Working Papers 300 $a"September 2006". 311 08$a9781451864830 311 08$a1451864833 320 $aIncludes bibliographical references. 327 $a""Contents""; ""I. INTRODUCTION""; ""II. BANK CREDIT AND PROPERTY PRICES""; ""III. DEFAULT, CREDIT GROWTH, AND ASSET PRICES""; ""IV. RESULTS""; ""V. CONCLUSIONS AND POLICY IMPLICATIONS""; ""References"" 330 3 $aThis paper uses a Merton-type estimate of the probability of default (PoD) for the main banks in a sample of Organization for Economic Cooperation and Development and middle-income countries as a proxy for the fragility of their banking systems. Based on theory and stylized facts, the paper explores a range of financial and real variables that explain such PoDs across time. We find property price fluctuations and bank credit to be important explanatory factors. There is two-way interaction between these variables and a clearer relationship when the variables are entered as a deviation from trend. The lag structure between such developments and PoDs is long and varies widely across countries. 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