LEADER 02741nam 2200613Ia 450 001 9910458468803321 005 20200520144314.0 010 $a1-281-38504-2 010 $a9786611385040 010 $a1-84663-819-4 035 $a(CKB)1000000000402544 035 $a(EBL)348630 035 $a(OCoLC)243603795 035 $a(SSID)ssj0000672805 035 $a(PQKBManifestationID)11367954 035 $a(PQKBTitleCode)TC0000672805 035 $a(PQKBWorkID)10636363 035 $a(PQKB)10378726 035 $a(MiAaPQ)EBC348630 035 $a(Au-PeEL)EBL348630 035 $a(CaPaEBR)ebr10229703 035 $a(EXLCZ)991000000000402544 100 $a20001024d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aEuropean business review$hVolume 20, Number 2$iBusiness schools or schools for scholars$b[electronic resource] /$fguest editors: Greg Wood and Goran Svensson 210 $aBradford, England $cEmerald Group Pub.$d2008 215 $a1 online resource (86 p.) 225 0 $aEuropean business review ;$vv. 20, no. 2 300 $aDescription based upon print version of record. 311 $a1-84663-818-6 327 $aCover; CONTENTS; Editorial advisory board; Guest editorial; The role of business schools in the doctoral paradox; The beauty of measurements; Contextual leadership development: a South African perspective; What is the future of business schools?; Philip Kotler's influence in the Soviet Union and Russia; Commentary 330 $aThis e-book includes articles that focus on higher educational issues and concerns at business schools worldwide. The collection of articles includes a discussion of the possible impact of measurements and rankings within research and education; an examination of the importance and impact of leadership education which is contextually relevant, an investigation of how business schools can organize their research, and meet the demands from the business community; and also a piece which examines the translation, censorship, and publication of Philip Kotler's Marketing Management in the Soviet Uni 410 0$aEuropean Business Review - Volume 20, Edition 2 606 $aBusiness schools 606 $aBusiness education 608 $aElectronic books. 615 0$aBusiness schools. 615 0$aBusiness education. 676 $a174/.40711 676 $a650.071 676 $a650.071/173 701 $aWood$b Greg$0880702 701 $aSvensson$b Go?ran$0865462 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458468803321 996 $aEuropean business review$91966966 997 $aUNINA LEADER 03339nam 2200709Ia 450 001 9910975015703321 005 20250616170932.0 010 $a9786612360367 010 $a9781282360365 010 $a1282360361 010 $a9780520941168 010 $a0520941160 024 7 $a10.1525/9780520941168 035 $a(CKB)2430000000010928 035 $a(EBL)837254 035 $a(OCoLC)773564986 035 $a(SSID)ssj0000296322 035 $a(PQKBManifestationID)11220135 035 $a(PQKBTitleCode)TC0000296322 035 $a(PQKBWorkID)10326697 035 $a(PQKB)11220941 035 $a(MiAaPQ)EBC837254 035 $a(DE-B1597)519544 035 $a(DE-B1597)9780520941168 035 $a(Au-PeEL)EBL837254 035 $a(CaPaEBR)ebr10675818 035 $a(CaONFJC)MIL236036 035 $a(Perlego)552075 035 $a(EXLCZ)992430000000010928 100 $a20070207d2007 ub 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aField guide to owls of California and the West /$fHans Peeters ; illustrations and photos by Hans Peeters 205 $a1st ed. 210 $aBerkeley $cUniversity of California Press$dc2007 215 $a1 online resource (392 p.) 225 0 $aCalifornia natural history guides ;$v93 300 $aDescription based upon print version of record. 311 08$a9780520252806 311 08$a0520252802 311 08$a9780520247413 311 08$a0520247418 320 $aIncludes bibliographical references (p. 281-303) and index. 327 $tFrontmatter --$tContents --$tPreface --$tIntroduction --$tAn Owl'S Body --$tAn Owl'S Life --$tFinding And Watching Owls --$tOwls And Humans --$tSpecies Accounts --$tGlossary --$tReferences --$tIndex --$tAdditional Captions 330 $aMost owls are almost perfectly adapted to life in the dark. Their vaguely humanoid faces reflect the spectacular evolution of their hearing and vision, which has made flight, romance, and predation possible in the near absence of light. This accessible guide, full of intriguing anecdotes, covers all 19 species of owls occurring in North America. More than an identification guide, Field Guide to Owls of California and the West describes the biology and behavior of owls to make finding and identifying them easier and watching them more enjoyable. The guide also explores the conservation challenges that owls face and tells how owls provide insights to scientists working in fields from technology to health. * Color plates illustrate each species * Range maps show the western distribution of North America's owls, 14 of which occur in California * Offers tips for finding and watching owls * Gives information on how to design, place, and maintain nest boxes * Describes human attitudes toward owls through history, including in Native American cultures of the West 410 0$aCalifornia Natural History Guides 606 $aOwls$zCalifornia 606 $aOwls$zWest (U.S.) 615 0$aOwls 615 0$aOwls 676 $a598.9/7 700 $aPeeters$b Hans J$01827169 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910975015703321 996 $aField guide to owls of California and the West$94395266 997 $aUNINA LEADER 03930nam 22006015 450 001 9910917787203321 005 20251204105757.0 010 $a9798868810527 024 7 $a10.1007/979-8-8688-1052-7 035 $a(MiAaPQ)EBC31837002 035 $a(Au-PeEL)EBL31837002 035 $a(CKB)37018347600041 035 $a(DE-He213)979-8-8688-1052-7 035 $a(CaSebORM)9798868810527 035 $a(OCoLC)1482786753 035 $a(OCoLC-P)1482786753 035 $a(OCoLC)1484072044 035 $a(EXLCZ)9937018347600041 100 $a20241214d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStochastic Finance with Python $eDesign Financial Models from Probabilistic Perspective /$fby Avishek Nag 205 $a1st ed. 2024. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2024. 215 $a1 online resource (398 pages) 225 0 $aProfessional and Applied Computing Series 311 08$a9798868810510 327 $aPart I - Foundations & Pre-requisites -- Chapter 1 - Introduction -- Chapter 2 ? Finance Basics & Data Sources -- Chapter 3 - Probability -- Chapter 4 - Simulation -- Chapter 5 ? Stochastic Process -- Part II ? Basic Asset Price Modelling -- Chapter 6 ? Diffusion Model -- Chapter 7 ? Jump Models -- Part III ? Financial Options Modelling -- Chapter 8 ? Options & Black-Scholes Model -- Chapter 9 ? PDE, Finite-Difference & Black-Scholes Model -- Part IV - Portfolios -- Chapter 10 ? Portfolio Optimization. 330 $aJourney through the world of stochastic finance from learning theory, underlying models, and derivations of financial models (stocks, options, portfolios) to the almost production-ready Python components under cover of stochastic finance. This book will show you the techniques to estimate potential financial outcomes using stochastic processes implemented with Python. The book starts by reviewing financial concepts, such as analyzing different asset types like stocks, options, and portfolios. It then delves into the crux of stochastic finance, providing a glimpse into the probabilistic nature of financial markets. You?ll look closely at probability theory, random variables, Monte Carlo simulation, and stochastic processes to cover the prerequisites from the applied perspective. Then explore random walks and Brownian motion, essential in understanding financial market dynamics. You?ll get a glimpse of two vital modelling tools used throughout the book - stochastic calculus and stochastic differential equations (SDE). Advanced topics like modeling jump processes and estimating their parameters by Fourier-transform-based density recovery methods can be intriguing to those interested in full-numerical solutions of probability models. Moving forward, the book covers options, including the famous Black-Scholes model, dissecting it from both risk-neutral probability and PDE perspectives. A chapter at the end also covers the discovery of portfolio theory, beginning with mean-variance analysis and advancing to portfolio simulation and the efficient frontier. 606 $aPython (Computer program language) 606 $aBusiness enterprises$xFinance 606 $aFinancial engineering 606 $aPython 606 $aCorporate Finance 606 $aFinancial Technology and Innovation 615 0$aPython (Computer program language) 615 0$aBusiness enterprises$xFinance. 615 0$aFinancial engineering. 615 14$aPython. 615 24$aCorporate Finance. 615 24$aFinancial Technology and Innovation. 676 $a005.133 700 $aNag$b Avishek$01780053 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910917787203321 996 $aStochastic Finance with Python$94303697 997 $aUNINA