00859nam0-22002891i-450 99000176909040332120190529131415.0000176909FED01000176909(Aleph)000176909FED0100017690920030910d1964----km-y0itay50------baitaNote d'attualitàCentro Internazionale per gli Studi sulla Irrigazione a PioggiaBologna[s.n.]196413 p.25 cmEStr. da: L'Irrigazione, 1964, n.4.Irrigazione631.7Centro internazionale per gli studi sulla irrigazione a pioggia76902ITUNINARICAUNIMARCLG99000176909040332160 OP. 66/2940415FAGBCFAGBCNote d'attualità363940UNINA01796oam 2200457 450 991070673590332120180123105231.0(CKB)5470000002458100(OCoLC)896810147(OCoLC)995470000002458100(EXLCZ)99547000000245810020141123d1974 ua 0engurmn|||||||||txtrdacontentcrdamediacrrdacarrierGeology of the San Francisco North Quadrangle, California /by Julius SchlockerWashington :United States Department of the Interior, Geological Survey,1974.1 online resource (vii, 109 pages) illustrations, maps (some color)Geological Survey professional paper ;782Title from title screen (viewed October 2, 2014)."The distribution and character of the bedrock and surficial deposits in the northern part of the City of San Francisco and southern Marin County, Calif., including a description of the Franciscan Formation in its type area and notes on engineering geology in an urban area."Some pages not in order.Includes bibliographical references (pages 100-105) and index.GeologyCaliforniaSan Francisco Bay AreaGeologyfastCaliforniaSan Francisco Bay AreafastGeologyGeology.Schlocker Julius1400144Geological Survey (U.S.),COPCOPOCLCOOCLCFGPOBOOK9910706735903321Geology of the San Francisco North Quadrangle, California3466547UNINA05500nam 2200709 a 450 991101892630332120200520144314.09786610740031978111920933111192093319781280740039128074003597804700604380470060433(CKB)1000000000357284(EBL)284349(OCoLC)123820265(SSID)ssj0000238659(PQKBManifestationID)12022623(PQKBTitleCode)TC0000238659(PQKBWorkID)10233158(PQKB)10602018(PQKBManifestationID)16114083(PQKB)23737320(MiAaPQ)EBC284349(Perlego)2767571(EXLCZ)99100000000035728420061006d2006 uy 0engur|n|---|||||txtccrRisk quantification management, diagnosis and hedging /Laurent Condamin, Jean-Paul Louisot, Patrick NaimChichester, West Sussex, England ;Hoboken, NJ John Wileyc20061 online resource (287 p.)Wiley finance seriesDescription based upon print version of record.9780470019078 0470019077 Includes bibliographical references and index.Risk 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 FinancingFrom 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 DiagramModelling 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 KnowledgeEstimating 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; SummaryRisk 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 PillarsOperational RiskThis 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 risWiley finance series.Risk managementMathematical modelsRisk managementMathematical models.658.15/5Condamin Laurent1837777Louisot Jean-Paul1837778Naim Patrick857114MiAaPQMiAaPQMiAaPQBOOK9911018926303321Risk quantification4416598UNINA