LEADER 01034nam0-22003131i-450- 001 990008501220403321 005 20090120101854.0 035 $a000850122 035 $aFED01000850122 035 $a(Aleph)000850122FED01 035 $a000850122 100 $a20070416d1984----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aLongevità di una democrazia comunale$ele istituzioni di Bormio dalle origini del Comune al dominio napoleonico$fRoberto Celli 210 $aUdine$cDel Bianco$d1984 215 $aP. 9-87$d24 cm 225 1 $aSerie monografica di storia moderna e contemporanea / Istituto di storia dell'Università di Udine 300 $aEstratto da: Longevità di una democrazia comunale 676 $a340$v11 rid.$zita 700 1$aCelli,$bRoberto$0212747 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008501220403321 952 $aSDI-T 134$b842$fSDI 959 $aSDI 996 $aLongevità di una democrazia comunale$9731594 997 $aUNINA LEADER 00922nam a22002411i 4500 001 991003394569707536 005 20030320192955.0 008 031111s1990 uik|||||||||||||||||eng 035 $ab12420608-39ule_inst 035 $aARCHE-045389$9ExL 040 $aDip.to Lingue$bita$cA.t.i. 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Pandora Sicilia s.r.l. 082 04$a823.912 100 1 $aMcNichol, Stella$0165988 245 10$aVirginia Woolf and the poetry of fiction /$cStella McNichol 260 $aLondon ;$aNew York :$bRoutledge,$c1990 300 $a182 p. ;$c23 cm 600 14$aWoolf, Virginia$xStudi critici 907 $a.b12420608$b02-04-14$c13-11-03 912 $a991003394569707536 945 $aLE012 828.91 WOO MCN 2$g1$i2012000209176$lle012$o-$pE0.00$q-$rl$s- $t0$u2$v0$w2$x0$y.i12840944$z13-11-03 996 $aVirginia Woolf and the poetry of fiction$9139023 997 $aUNISALENTO 998 $ale012$b13-11-03$cm$da $e-$feng$guik$h0$i1 LEADER 05411nam 2200661 a 450 001 9910829828703321 005 20170815112944.0 010 $a1-119-20933-1 010 $a1-280-74003-5 010 $a9786610740031 010 $a0-470-06043-3 035 $a(CKB)1000000000357284 035 $a(EBL)284349 035 $a(OCoLC)123820265 035 $a(SSID)ssj0000238659 035 $a(PQKBManifestationID)12022623 035 $a(PQKBTitleCode)TC0000238659 035 $a(PQKBWorkID)10233158 035 $a(PQKB)10602018 035 $a(PQKBManifestationID)16114083 035 $a(PQKB)23737320 035 $a(MiAaPQ)EBC284349 035 $a(EXLCZ)991000000000357284 100 $a20061006d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRisk quantification$b[electronic resource] $emanagement, diagnosis and hedging /$fLaurent Condamin, Jean-Paul Louisot, Patrick Nai?m 210 $aChichester, West Sussex, England ;$aHoboken, NJ $cJohn Wiley$dc2006 215 $a1 online resource (287 p.) 225 1 $aWiley finance series 300 $aDescription based upon print version of record. 311 $a0-470-01907-7 320 $aIncludes bibliographical references and index. 327 $aRisk Quantification; Contents; Foreword; Introduction; 1 Foundations; Risk management: Principles and Practice; Definitions; Systematic and Unsystematic Risk; Insurable Risks; Exposure; Management; Risk Management; Risk Management Objectives; Organizational Objectives; Other Significant Objectives; Risk Management Decision Process; Step 1-Diagnosis of Exposures; Step 2-Risk Treatment; Step 3-Audit and Corrective Actions; State of the Art and the Trends in risk Management; Risk Profile, Risk Map or Risk Matrix; Frequency x Severity; Risk Financing and Strategic Financing 327 $aFrom Risk Management to Strategic Risk ManagementFrom Managing Physical Assets to Managing Reputation; From Risk Manager to Chief Risk Officer; Why is Risk Quantification Needed?; Risk Quantification - A Knowledge-Based Approach; Introduction; Causal Structure of Risk; Building a Quantitative Causal Model of Risk; Exposure, Frequency, and Probability; Exposure, Occurrence, and Impact Drivers; Controlling Exposure, Occurrence, and Impact; Controllable, Predictable, Observable, and Hidden Drivers; Cost of Decisions; Risk Financing; Risk Management Programme as an Influence Diagram 327 $aModelling an Individual Risk or the Risk Management ProgrammeSummary; 2 Tool Box; Probability Basics; Introduction to Probability Theory; Conditional Probabilities; Independence; Bayes' Theorem; Random Variables; Moments of a Random Variable; Continuous Random Variables; Main Probability Distributions; Introduction-the Binomial Distribution; Overview of Usual Distributions; Fundamental Theorems of Probability Theory; Empirical Estimation; Estimating Probabilities from Data; Fitting a Distribution from Data; Expert Estimation; From Data to Knowledge 327 $aEstimating Probabilities from Expert KnowledgeEstimating a Distribution from Expert Knowledge; Identifying the Causal Structure of a Domain; Conclusion; Bayesian Networks and Influence Diagrams; Introduction to the Case; Introduction to Bayesian Networks; Nodes and Variables; Probabilities; Dependencies; Inference; Learning; Extension to Influence Diagrams; Introduction to Monte Carlo Simulation; Introduction; Introductory Example: Structured Funds; Risk Management Example 1 - Hedging Weather Risk; Description; Collecting Information; Model; Manual Scenario; Monte Carlo Simulation; Summary 327 $aRisk Management Example 2- Potential Earthquake in Cement IndustryAnalysis; Model; Monte Carlo Simulation; Conclusion; A Bit of Theory; Introduction; Definition; Estimation According to Monte Carlo Simulation; Random Variable Generation; Variance Reduction; Software Tools; 3 Quantitative Risk Assessment: A Knowledge Modelling Process; Introduction; Increasing Awareness of Exposures and Stakes; Objectives of Risk Assessment; Issues in Risk Quantification; Risk Quantification: A Knowledge Management Process; The Basel II Framework for Operational Risk; Introduction; The Three Pillars 327 $aOperational Risk 330 $aThis book offers a practical answer for the non-mathematician to all the questions any businessman always wanted to ask about risk quantification, and never dare to ask. Enterprise-wide risk management (ERM) is a key issue for board of directors worldwide. Its proper implementation ensures transparent governance with all stakeholders' interests integrated into the strategic equation. Furthermore, Risk quantification is the cornerstone of effective risk management,at the strategic and tactical level, covering finance as well as ethics considerations. Both downside and upside ris 410 0$aWiley finance series. 606 $aRisk management$xMathematical models 615 0$aRisk management$xMathematical models. 676 $a332.6 676 $a658.15/5 700 $aCondamin$b Laurent$01643838 701 $aLouisot$b Jean-Paul$01643839 701 $aNai?m$b Patrick$0857114 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910829828703321 996 $aRisk quantification$93989332 997 $aUNINA