LEADER 05361nam 2200697 450 001 9910812563903321 005 20230807213606.0 010 $a1-118-96327-X 010 $a1-118-96328-8 010 $a1-118-96329-6 035 $a(CKB)3710000000355736 035 $a(EBL)1895821 035 $a(SSID)ssj0001436819 035 $a(PQKBManifestationID)12617545 035 $a(PQKBTitleCode)TC0001436819 035 $a(PQKBWorkID)11443057 035 $a(PQKB)10410735 035 $a(PQKBManifestationID)16038580 035 $a(PQKB)23518507 035 $a(MiAaPQ)EBC1895821 035 $a(DLC) 2014024758 035 $a(Au-PeEL)EBL1895821 035 $a(CaPaEBR)ebr11022745 035 $a(CaONFJC)MIL770083 035 $a(OCoLC)881721560 035 $a(EXLCZ)993710000000355736 100 $a20150304h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSolutions in lidar profiling of the atmosphere /$fVladimir A Kovalev 210 1$aHoboken, New Jersey :$cWiley,$d2015. 210 4$d©2015 215 $a1 online resource (300 p.) 300 $aIncludes index. 311 $a1-118-44219-9 320 $aIncludes bibliographical references and index. 327 $aCover; Contents; Preface; Acknowledgments; Definitions; Chapter 1 Inversion of Elastic-Lidar Data as an ILL-Posed Problem; 1.1 Recording and Initial Processing of the Lidar Signal: Essentials and~Specifics; 1.1.1 Lidar Equation and Real Lidar Signal: How Well Do They Match?; 1.1.2 Multiplicative and Additive Distortions in the Lidar Signal: Essentials and Specifics; 1.2 Algorithms for Extraction of the Extinction-Coefficient Profile from the Elastic-Lidar Signal; 1.2.1 Basics; 1.2.2 Fernald's Boundary-Point Solution; 1.2.3 Optical Depth Solution 327 $a1.2.4 Implicit Premises and Mandatory Assumptions Required for~Inversion of the Elastic Lidar Signal into the Atmospheric Profile1.3 Profiling of the Optical Parameters of the Atmosphere as a Simulation Based on Past Observations; 1.3.1 Definitions of the Terms; 1.3.2 Random Systematic Errors in the Derived Atmospheric Profiles: Origin and Examples; 1.4 Error Factor in Lidar Data Inversion; 1.5 Backscatter Signal Distortions and Corresponding Errors in the Inverted Atmospheric Profiles; 1.6 Determination of the Constant Offset in the Recorded Lidar Signal Using~the Slope Method 327 $a1.6.1 Algorithm and Solution Uncertainty1.6.2 Numerical Simulations and Experimental Data; 1.7 Examination of the Remaining Offset in the Backscatter Signal by~Analyzing the Shape of the Integrated Signal; 1.8 Issues in the Examination of the Lidar Overlap Function; 1.8.1 Influence of Distortions in the Lidar Signal when Determining the~Overlap Function; 1.8.2 Issues of Lidar Signal Inversion within the Incomplete Overlap Area; Chapter 2 Essentials and Issues in Separating the Backscatter and Transmission Terms in The Lidar Equation 327 $a2.1 Separation of the Backscatter and Transmission Terms in the Lidar Equation: Methods and Intrinsic Assumptions2.1.1 Inversion Algorithm for the Signals of Raman Lidar; 2.1.2 Inversion Algorithm for the Signals of High Spectral Resolution Lidar (HSRL); 2.1.3 Inversion Algorithm for Signals of the Differential Absorption Lidar (DIAL); 2.2 Distortions in the Optical Depth and Extinction-Coefficient Profiles Derived from Raman Lidar Data; 2.2.1 Distortion of the Derived Extinction Coefficient Due to Uncertainty of the Angstrom Exponent 327 $a2.2.2 Errors in the Derived Optical Depth Profile Caused by Distortions in the Raman Lidar Signal2.2.3 Errors in the Derived Extinction-Coefficient Profile Caused by~Distortions in the Raman Lidar Signal; 2.3 Distortions in the Extinction-Coefficient Profile Derived from the HSRL~Signal; 2.4 Numerical Differentiation and the Uncertainty Inherent in the Inverted Data; 2.4.1 Basics; 2.4.2 Nonlinear Fit in the Numerical Differentiation Technique and~its~Issue; 2.4.3 Numerical Differentiation as a Filtering Procedure 327 $a2.5 Correction and Extrapolation Techniques for the Optical Depth Profile~Derived from the Splitting Lidar Data 330 $a Provides tools and techniques to identify and address distortions and to interpret data coming from Lidar sensing technology This book covers the issues encountered in separating the backscatter and transmission terms in the LIDAR equation when profiling the atmosphere with zenith-directed and vertically-scanning Lidars. Solutions in Lidar Profiling of the Atmosphere explains how to manage and interpret the Llidar signals when the uncertainties of the involved atmospheric parameters are not treatable statistically. The author discusses specific scenarios for using specific scenarios for p 606 $aAtmosphere$xLaser observations 606 $aAtmosphere$xRemote sensing 606 $aMeteorological optics 615 0$aAtmosphere$xLaser observations. 615 0$aAtmosphere$xRemote sensing. 615 0$aMeteorological optics. 676 $a551.5028/7 700 $aKovalev$b Vladimir A.$09245 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910812563903321 996 $aSolutions in lidar profiling of the atmosphere$93991537 997 $aUNINA LEADER 03979nam 22006615 450 001 9910438137903321 005 20251116202201.0 010 $a9783034805193 010 $a3034805195 024 7 $a10.1007/978-3-0348-0519-3 035 $a(CKB)2670000000393921 035 $a(SSID)ssj0000935809 035 $a(PQKBManifestationID)11536146 035 $a(PQKBTitleCode)TC0000935809 035 $a(PQKBWorkID)10956317 035 $a(PQKB)10632668 035 $a(DE-He213)978-3-0348-0519-3 035 $a(MiAaPQ)EBC3093117 035 $a(PPN)170489256 035 $a(EXLCZ)992670000000393921 100 $a20130628d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to Quantitative Methods for Financial Markets /$fby Hansjoerg Albrecher, Andreas Binder, Volkmar Lautscham, Philipp Mayer 205 $a1st ed. 2013. 210 1$aBasel :$cSpringer Basel :$cImprint: Birkhäuser,$d2013. 215 $a1 online resource (IX, 191 p. 48 illus., 10 illus. in color.) 225 1 $aCompact Textbooks in Mathematics,$x2296-4568 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9783034805186 311 08$a3034805187 327 $aI Interest Rates -- II Financial Products -- III The No-Arbitrage Principle -- IV European and American Options -- The Binomial Option Pricing Model -- VI The Black-Scholes Model -- VII The Black-Scholes Formula -- VIII Stock-Price Models -- IX Interest Rate Models and the Valuation of Interest Rate Derivatives -- X Numerical Tools -- XI Simulation Methods -- XII Calibrating Models ? Inverse Problems -- XIII Case Studies: Exotic Derivatives -- XIV Portfolio-Optimization -- XV Introduction to Credit Risk Models. 330 $aSwaps, futures, options, structured instruments - a wide range of derivative products is traded in today's financial markets. Analyzing, pricing and managing such products often requires fairly sophisticated quantitative tools and methods. This book serves as an introduction to financial mathematics with special emphasis on aspects relevant in practice. In addition to numerous illustrative examples, algorithmic implementations are demonstrated using "Mathematica" and the software package "UnRisk" (available for both students and teachers). The content is organized in 15 chapters that can be treated as independent modules. In particular, the exposition is tailored for classroom use in a Bachelor or Master program course, as well as for practitioners who wish to further strengthen their quantitative background. 410 0$aCompact Textbooks in Mathematics,$x2296-4568 606 $aGame theory 606 $aEconomics 606 $aEconomics, Mathematical 606 $aGame Theory, Economics, Social and Behav. Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13011 606 $aEconomic Theory/Quantitative Economics/Mathematical Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/W29000 606 $aQuantitative Finance$3https://scigraph.springernature.com/ontologies/product-market-codes/M13062 615 0$aGame theory. 615 0$aEconomics. 615 0$aEconomics, Mathematical. 615 14$aGame Theory, Economics, Social and Behav. Sciences. 615 24$aEconomic Theory/Quantitative Economics/Mathematical Methods. 615 24$aQuantitative Finance. 676 $a519 700 $aAlbrecher$b Hansjo?rg$4aut$4http://id.loc.gov/vocabulary/relators/aut$0611748 702 $aBinder$b Andreas$f1964-$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLautscham$b Volkmar$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMayer$b Philipp$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910438137903321 996 $aIntroduction to Quantitative Methods for Financial Markets$94473233 997 $aUNINA