LEADER 03075nam 22005295 450 001 996418254103316 005 20200825210442.0 010 $a3-030-49852-2 024 7 $a10.1007/978-3-030-49852-8 035 $a(CKB)4100000011401162 035 $a(MiAaPQ)EBC6320234 035 $a(DE-He213)978-3-030-49852-8 035 $a(PPN)250216221 035 $a(EXLCZ)994100000011401162 100 $a20200825d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aERM and QRM in Life Insurance$b[electronic resource] $eAn Actuarial Primer /$fby Ermanno Pitacco 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (236 pages) $cillustrations 225 1 $aSpringer Actuarial Lecture Notes,$x2523-3289 311 $a3-030-49851-4 320 $aIncludes bibliographical references and index. 327 $aPreface -- Introduction -- Enterprise Risk Management and Quantitative Risk Management -- The Risk Management process. - Risk Management for life insurance and life annuities. - Risk assessment and impact assessment in life insurance business. - Risk assessment and impact assessment in life annuity business. - Sensitivity testing for long-term care insurance products. - References -- Index. 330 $aThis book deals with Enterprise Risk Management (ERM) and, in particular, Quantitative Risk Management (QRM) in life insurance business. Constituting a ?bridge? between traditional actuarial mathematics and insurance risk management processes, its purpose is to provide advanced undergraduate and graduate students in the Actuarial Sciences, Finance and Economics with the basics of ERM (in general) and QRM applied to life insurance business. The main topics dealt with are: general issues on ERM, risk management tools for life insurance and life annuities, deterministic and stochastic analysis of the behaviour of a portfolio fund, application of sensitivity testing to assess ranges of results of interest, stress testing to assess the impact of extreme scenarios, and the product development process for life annuity products. 410 0$aSpringer Actuarial Lecture Notes,$x2523-3289 606 $aActuarial science 606 $aEconomics, Mathematical  606 $aActuarial Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13080 606 $aQuantitative Finance$3https://scigraph.springernature.com/ontologies/product-market-codes/M13062 615 0$aActuarial science. 615 0$aEconomics, Mathematical . 615 14$aActuarial Sciences. 615 24$aQuantitative Finance. 676 $a368.012 700 $aPitacco$b Ermanno$4aut$4http://id.loc.gov/vocabulary/relators/aut$068761 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418254103316 996 $aERM and QRM in Life Insurance$92052276 997 $aUNISA LEADER 04945nam 2200697 450 001 9910137486903321 005 20230808212231.0 010 $a1-119-21214-6 010 $a1-119-21208-1 035 $a(CKB)3710000000576660 035 $a(EBL)4353592 035 $a(OCoLC)925426792 035 $a(SSID)ssj0001604114 035 $a(PQKBManifestationID)16313913 035 $a(PQKBTitleCode)TC0001604114 035 $a(PQKBWorkID)14893752 035 $a(PQKB)10634674 035 $a(PQKBManifestationID)16314151 035 $a(PQKB)24180540 035 $a(MiAaPQ)EBC4353592 035 $a(DLC) 2015040994 035 $a(Au-PeEL)EBL4353592 035 $a(CaPaEBR)ebr11150425 035 $a(CaONFJC)MIL890222 035 $a(EXLCZ)993710000000576660 100 $a20160211h20162016 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRobust optimization $eworld's best practices for developing winning vehicles /$fSubir Chowdhury, Shin Taguchi 210 1$aChichester, England :$cWiley,$d2016. 210 4$d©2016 215 $a1 online resource (527 p.) 300 $aIncludes index. 311 $a1-119-21209-X 311 $a1-119-21212-X 320 $aIncludes bibliographical references and index. 327 $aTitle Page; Copyright; Dedication; Preface; Acknowledgments; About the Authors; Chapter 1: Introduction to Robust Optimization; 1.1 What Is Quality as Loss?; 1.2 What Is Robustness?; 1.3 What Is Robust Assessment?; 1.4 What Is Robust Optimization?; Chapter 2: Eight Steps for Robust Optimization and Robust Assessment; 2.1 Before Eight Steps: Select Project Area; 2.2 Eight Steps for Robust Optimization; 2.3 Eight Steps for Robust Assessment; 2.4 As You Go through Case Studies in This Book; Chapter 3: Implementation of Robust Optimization; 3.1 Introduction; 3.2 Robust Optimization Implementation 327 $aPart One: Vehicle Level OptimizationChapter 4: Optimization of Vehicle Offset Crashworthy Design Using a Simplified Analysis Model; 4.1 Executive Summary; 4.2 Introduction; 4.3 Stepwise Implementation of DFSS Optimization for Vehicle Offset Impact; 4.4 Conclusion; References; Chapter 5: Optimization of the Component Characteristics for Improving Collision Safety by Simulation; 5.1 Executive Summary; 5.2 Introduction; 5.3 Simulation Models; 5.4 Concept of Standardized S/N Ratios with Respect to Survival Space; 5.5 Results and Consideration; 5.6 Conclusion; Reference 327 $aPart Two: Subsystems Level Optimization by Original Equipment Manufacturers (OEMs)Chapter 6: Optimization of Small DC Motors Using Functionality for Evaluation; 6.1 Executive Summary; 6.2 Introduction; 6.3 Functionality for Evaluation in Case of DC Motors; 6.4 Experiment Method and Measurement Data; 6.5 Factors and Levels; 6.6 Data Analysis; 6.7 Analysis Results; 6.8 Selection of Optimal Design and Confirmation; 6.9 Benefits Gained; 6.10 Consideration of Analysis for Audible Noise; 6.11 Conclusion; Chapter 7: Optimal Design for a Double-Lift Window Regulator System Used in Automobiles 327 $a7.1 Executive Summary7.2 Introduction; 7.3 Schematic Figure of Double-Lift Window Regulator System; 7.4 Ideal Function; 7.5 Noise Factors; 7.6 Control Factors; 7.7 Conventional Data Analysis and Results; 7.8 Selection of Optimal Condition and Confirmation Test Results; 7.9 Evaluation of Quality Characteristics; 7.10 Concept of Analysis Based on Standardized S/N Ratio; 7.11 Analysis Results Based on Standardized S/N Ratio; 7.12 Comparison between Analysis Based on Standardized S/N Ratio and Analysis Based on Conventional S/N Ratio; 7.13 Conclusion; Further Reading 327 $aChapter 8: Optimization of Next-Generation Steering System Using Computer Simulation8.1 Executive Summary; 8.2 Introduction; 8.3 System Description; 8.4 Measurement Data; 8.5 Ideal Function; 8.6 Factors and Levels; 8.7 Pre-analysis for Compounding the Noise Factors; 8.8 Calculation of Standardized S/N Ratio; 8.9 Analysis Results; 8.10 Determination of Optimal Design and Confirmation; 8.11 Tuning to the Targeted Value; 8.12 Conclusion; Chapter 9: Future Truck Steering Effort Robustness; 9.1 Executive Summary; 9.2 Background; 9.3 Parameter Design; 9.4 Acknowledgments; References 327 $aChapter 10: Optimal Design of Engine Mounting System Based on Quality Engineering 606 $aMotor vehicles$xDesign and construction 606 $aRobust optimization 606 $aManufacturing processes 615 0$aMotor vehicles$xDesign and construction. 615 0$aRobust optimization. 615 0$aManufacturing processes. 676 $a629.231 700 $aChowdhury$b Subir$0864493 702 $aTaguchi$b Shin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910137486903321 996 $aRobust optimization$91929475 997 $aUNINA