001444159 000__ 03255cam\a2200553Ii\4500
001444159 001__ 1444159
001444159 003__ OCoLC
001444159 005__ 20230310003655.0
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001444159 019__ $$a1295217629$$a1295243975
001444159 020__ $$a9783030777579$$q(electronic bk.)
001444159 020__ $$a303077757X$$q(electronic bk.)
001444159 020__ $$z9783030777562
001444159 020__ $$z3030777561
001444159 0247_ $$a10.1007/978-3-030-77757-9$$2doi
001444159 035__ $$aSP(OCoLC)1295215305
001444159 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dN$T$$dOCLCQ
001444159 049__ $$aISEA
001444159 050_4 $$aQA274$$b.S68 2022
001444159 08204 $$a519.2$$223
001444159 1001_ $$aCursi, Eduardo Souza de,$$eauthor.
001444159 24510 $$aUncertainty quantification and stochastic modelling with EXCEL /$$cEduardo Souza de Cursi.
001444159 264_1 $$aCham :$$bSpringer,$$c[2022]
001444159 264_4 $$c©2022
001444159 300__ $$a1 online resource :$$billustrations (chiefly color).
001444159 336__ $$atext$$btxt$$2rdacontent
001444159 337__ $$acomputer$$bc$$2rdamedia
001444159 338__ $$aonline resource$$bcr$$2rdacarrier
001444159 4901_ $$aSpringer texts in business and economics
001444159 504__ $$aIncludes bibliographical references and index.
001444159 5050_ $$aChapter 1: Some tips to use EXCEL -- Chapter 2: Some useful Numerical Methods -- Chapter 3: Probabilities with EXCEL -- Chapter 4: Stochastic Processes -- Chapter 5: Representation of Random Variables -- Chapter 6: Uncertain Algebraic Equations -- Chapter 7: Random Differential Equations -- Chapter 8: UQ in Game Theory -- Chapter 9: Optimization under uncertainty -- Chapter 10: Reliability -- Bibliography -- Index.
001444159 506__ $$aAccess limited to authorized users.
001444159 520__ $$aThis book presents techniques for determining uncertainties in numerical solutions with applications in the fields of business administration, civil engineering, and economics, using Excel as a computational tool. Also included are solutions to uncertainty problems involving stochastic methods. The list of topics specially covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi objective optimization, and Game Theory, as well as linear algebraic equations, and probability and statistics. The book also provides a selection of numerical methods developed for Excel, in order to enhance readers' understanding. As such, it offers a valuable guide for all graduate and undergraduate students in the fields of economics, business administration, civil engineering, and others that rely on Excel as a research tool.
001444159 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 11, 2022).
001444159 63000 $$aMicrosoft Excel (Computer file)
001444159 650_0 $$aUncertainty$$xMathematical models.
001444159 650_0 $$aStochastic processes.
001444159 650_6 $$aProcessus stochastiques.
001444159 655_0 $$aElectronic books.
001444159 77608 $$iPrint version:$$z3030777561$$z9783030777562$$w(OCoLC)1249497839
001444159 830_0 $$aSpringer texts in business and economics.
001444159 852__ $$bebk
001444159 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-77757-9$$zOnline Access$$91397441.1
001444159 909CO $$ooai:library.usi.edu:1444159$$pGLOBAL_SET
001444159 980__ $$aBIB
001444159 980__ $$aEBOOK
001444159 982__ $$aEbook
001444159 983__ $$aOnline
001444159 994__ $$a92$$bISE