LEADER 03129oam 2200637I 450 001 9910778817703321 005 20230802004345.0 010 $a0-429-09383-7 010 $a1-280-12191-2 010 $a9786613525772 010 $a1-4398-3575-6 024 7 $a10.1201/b11537 035 $a(CKB)2550000000079554 035 $a(EBL)840385 035 $a(OCoLC)774956310 035 $a(SSID)ssj0000584958 035 $a(PQKBManifestationID)11364512 035 $a(PQKBTitleCode)TC0000584958 035 $a(PQKBWorkID)10592712 035 $a(PQKB)11473517 035 $a(MiAaPQ)EBC840385 035 $a(Au-PeEL)EBL840385 035 $a(CaPaEBR)ebr10524996 035 $a(CaONFJC)MIL352577 035 $a(EXLCZ)992550000000079554 100 $a20180331d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aExtreme value methods with applications to finance /$fSerguei Y. Novak 210 1$aBoca Raton, Fla. :$cCRC Press,$d2012. 215 $a1 online resource (397 p.) 225 1 $aMonographs on statistics and applied probability ;$v122 300 $aDescription based upon print version of record. 311 $a1-4398-3574-8 320 $aIncludes bibliographical references. 327 $aFront Cover; Detication; Contents; Preface; Introduction; List of Conventions; List of Abbreviations; Author; Part I: Distribution of Extremes; 1. Methods of Extreme Value Theory; 2. Maximum of Partial Sums; 3. Extremes in Samples of Random Size; 4. Poisson Approximation; 5. Compound Poisson Approximation; 6. Exceedances of Several Levels; 7. Processes of Exceedances; 8. Beyond Compound Poisson; Part II: Statistics of Extremes; 9. Inference on Heavy Tails; 10. Value-at-Risk; 11. Extremal Index; 12. Normal Approximation; 13. Lower Bounds; 14. Appendix; References 330 $aExtreme value theory (EVT) deals with extreme (rare) events, which are sometimes reported as outliers. Certain textbooks encourage readers to remove outliers-in other words, to correct reality if it does not fit the model. Recognizing that any model is only an approximation of reality, statisticians are eager to extract information about unknown distribution making as few assumptions as possible. Extreme Value Methods with Applications to Finance concentrates on modern topics in EVT, such as processes of exceedances, compound Poisson approximation, Poisson cluster ap 410 0$aMonographs on statistics and applied probability ;$v122. 606 $aFinance$xMathematical models 606 $aFinancial risk$xMathematical models 606 $aExtreme value theory$xMathematical models 615 0$aFinance$xMathematical models. 615 0$aFinancial risk$xMathematical models. 615 0$aExtreme value theory$xMathematical models. 676 $a332.01/5195 700 $aNovak$b Serguei Y.$01558320 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910778817703321 996 $aExtreme value methods with applications to finance$93822602 997 $aUNINA LEADER 04874nam 2200589 450 001 9910789152503321 005 20230803201635.0 010 $a0-87335-394-3 035 $a(CKB)3710000000081466 035 $a(EBL)1584848 035 $a(SSID)ssj0001083180 035 $a(PQKBManifestationID)11596442 035 $a(PQKBTitleCode)TC0001083180 035 $a(PQKBWorkID)11101950 035 $a(PQKB)11153663 035 $a(MiAaPQ)EBC1584848 035 $a(Au-PeEL)EBL1584848 035 $a(CaPaEBR)ebr10823644 035 $a(OCoLC)867926397 035 $a(EXLCZ)993710000000081466 100 $a20131113d2014 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 13$aAn introduction to cut-off grade estimation /$fby Jean-Michel Rendu 205 $aSecond edition. 210 1$aEnglewood, CO :$cPublished by Society for Mining, Metallurgy, and Exploration, Inc.,$d2014. 215 $a1 recurso en línea (170 p.) 300 $aDescription based upon print version of record. 311 $a0-87335-393-5 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright; Contents; Preface to 2014 Edition; Preface to 2008 Edition; Chapter 1: INTRODUCTION; Chapter 2:GENERAL CONCEPTS; Mathematical Formulation: UtilityFunction; Cut-off Grade and Grade-Tonnage Relationship; Direct Profit and Loss: Udir(x); Net Present Value: NPVi; Opportunity Costs and Benefits: Uopp(x); Other Costs and Benefits: Uoth(x); Cut-off Grade and Blending Strategy; Chapter 3:BREAKEVEN CUT-OFF GRADE; Cut-off Grade Between Ore and Waste; Cut-off Grades in Open Pit Mines; Cut-off Grades in Underground Mines; Cut-off Grade Between Two Processes 327 $aCut-off Grade with Variable RecoveryConstant Tail Model of Variable Recovery; Breakeven Cut-off Grade and Polymetallic Deposits; OpportunityCost of Not Using the Optimum Cut-off Grade; Cut-off Grade and Low-Grade Stockpiles; Cut-off Grade andOptimization of Processing Plant Operating Conditions; Chapter 4:CAPACITY CONSTRAINTS AND OPPORTUNITY COSTS; WhenMarginal Analysis No Longer Applies: A Gold Leaching Operation; Capacity Constraints and Increase in Cut-off Grade; DecreasingCut-off Grade over Time: A Strategic Objective; Cut-off Grade Below Marginal Cut-off Grade 327 $aCut-offGrade Optimization with Opportunity Costs: Practical ConsiderationsChapter 5:GEOLOGIC CONSTRAINTS AND OPPORTUNITY COSTS; Cut-off Grade When Processing Capacity Is Fixed; Cut-off Grade When Mining Capacity Is Fixed; Cut-off Grade When Volume of Sales Is Fixed; Releasing Capacity Constraints: A Base Metal Example; Chapter 6:CUT-OFF GRADE AND MINE PLANNING; Open Pit Mine: Economic Valuation of a Pushback; Underground Mine: Economic Valuation of a Stope; Similarities BetweenOpen Pit and Underground Mine Planning; Block and Panel Caving 327 $aRelationship Between Mine Selectivity, Deposit Modeling,Ore Control, and Cut-off GradeChapter 7:WHICH COSTS SHOULD BE INCLUDED IN CUT-OFF GRADE CALCULATIONS?; General Considerations; HowSpecific Costs Influence Cut-off Grade Calculations; Other Costs and Benefits; Chapter 8:BLENDING STRATEGY; Blending Two Material Types; Blending Three Material Types; Blending to Maximize Tonnage; RemarksConcerning an Increasingly Complex Blending Problem; Chapter 9:CLOSING REMARKS; APPENDIX A; Example 1. Net Present Value of Constant Cash Flow: Proofof Formula 327 $aExample 2.Net Present Value of Perpetuity Cash Flow: Proof of FormulaExample 3.Opportunity Cost of Mining a Peripheral Deposit; Example 4.Simplified Equation to Estimate Opportunity Cost: Verification of First-Order Approximation; Example5. Opportunity Cost of Not Using the Optimal Cut-off Grade in a Copper Mine; Example 6. Stockpilingand Cut-off Determination in a Copper Mine; Example7. Properties of Constant-Metric-Tons Curves in Blending Diagrams; LIST OF SYMBOLS; BIBLIOGRAPHY; INDEX; ABOUT THE AUTHOR; Back Cover 330 $aAn Introduction to Cut-off Grade Estimation examines one of the most important calculations in the mining industry. Cut-off grades are essential to determining the economic feasibility and mine life of a project. Profitability and socioeconomic impact of mining operations are influenced by the choice of cut-off grades. Cut-off grades play a key role in estimating mineral reserves that can be publicly reported. 606 $aOres$xGrading 606 $aOres$xSampling and estimation 615 0$aOres$xGrading. 615 0$aOres$xSampling and estimation. 676 $a622/.7 700 $aRendu$b Jean-Michel$f1944-$4aut$01515644 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910789152503321 996 $aAn introduction to cut-off grade estimation$93850619 997 $aUNINA