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Introductory Statistics and Random Phenomena - Uncertainty, Complexity and Chaotic Behavior in Engineering and Science... Introductory Statistics and Random Phenomena - Uncertainty, Complexity and Chaotic Behavior in Engineering and Science (Hardcover, 1998 ed.)
Manfred Denker; Contributions by Bernard Ycart; Wojbor Woyczynski
R1,681 Discovery Miles 16 810 Ships in 10 - 15 working days

The present book is based on a course developed as partofthe large NSF-funded GatewayCoalitionInitiativeinEngineeringEducationwhichincludedCaseWest ern Reserve University, Columbia University, Cooper Union, Drexel University, Florida International University, New Jersey Institute ofTechnology, Ohio State University, University ofPennsylvania, Polytechnic University, and Universityof South Carolina. The Coalition aimed to restructure the engineering curriculum by incorporating the latest technological innovations and tried to attract more and betterstudents to engineering and science. Draftsofthis textbookhave been used since 1992instatisticscoursestaughtatCWRU, IndianaUniversity, Bloomington, and at the universities in Gottingen, Germany, and Grenoble, France. Another purpose of this project was to develop a courseware that would take advantage ofthe Electronic Learning Environment created by CWRUnet-the all fiber-optic Case Western Reserve University computer network, and its ability to let students run Mathematica experiments and projects in their dormitory rooms, and interactpaperlessly with the instructor. Theoretically, onecould try togothroughthisbook withoutdoing Mathematica experimentsonthecomputer, butitwouldbelikeplayingChopin's Piano Concerto in E-minor, or Pink Floyd's The Wall, on an accordion. One would get an idea ofwhatthe tune was without everexperiencing the full richness andpowerofthe entire composition, and the whole ambience would be miscued."

Introductory Statistics and Random Phenomena - Uncertainty, Complexity and Chaotic Behavior in Engineering and Science... Introductory Statistics and Random Phenomena - Uncertainty, Complexity and Chaotic Behavior in Engineering and Science (Paperback, Softcover reprint of the original 1st ed. 1998)
Manfred Denker; Contributions by Bernard Ycart; Wojbor Woyczynski
R1,474 Discovery Miles 14 740 Ships in 18 - 22 working days

The present book is based on a course developed as partofthe large NSF-funded GatewayCoalitionInitiativeinEngineeringEducationwhichincludedCaseWest ern Reserve University, Columbia University, Cooper Union, Drexel University, Florida International University, New Jersey Institute ofTechnology, Ohio State University, University ofPennsylvania, Polytechnic University, and Universityof South Carolina. The Coalition aimed to restructure the engineering curriculum by incorporating the latest technological innovations and tried to attract more and betterstudents to engineering and science. Draftsofthis textbookhave been used since 1992instatisticscoursestaughtatCWRU, IndianaUniversity, Bloomington, and at the universities in Gottingen, Germany, and Grenoble, France. Another purpose of this project was to develop a courseware that would take advantage ofthe Electronic Learning Environment created by CWRUnet-the all fiber-optic Case Western Reserve University computer network, and its ability to let students run Mathematica experiments and projects in their dormitory rooms, and interactpaperlessly with the instructor. Theoretically, onecould try togothroughthisbook withoutdoing Mathematica experimentsonthecomputer, butitwouldbelikeplayingChopin's Piano Concerto in E-minor, or Pink Floyd's The Wall, on an accordion. One would get an idea ofwhatthe tune was without everexperiencing the full richness andpowerofthe entire composition, and the whole ambience would be miscued."

Modeles et Algorithmes Markoviens (French, Paperback, 2002 ed.): Bernard Ycart Modeles et Algorithmes Markoviens (French, Paperback, 2002 ed.)
Bernard Ycart
R1,492 Discovery Miles 14 920 Ships in 18 - 22 working days

Ce livre est destine a tous ceux, mathematiciens ou non, qui souhaitent acquerir une maitrise pratique de l'outil probabiliste dans ses applications les plus courantes. L'elaboration d'un modele probabiliste conduit, en dehors de cas particuliers de faible interet pratique, a des problemes theoriques difficiles qui sont vite hors de portee de l'utilisateur (comme d'ailleurs souvent du probabiliste professionnel). La validation d'un tel modele passe alors necessairement par la simulation, qui ne met en jeu en general que des procedures extremement simples. Apprendre a utiliser les modeles stochastiques, ecrire pour eux des programmes de simulation efficaces, prevoir leurs performances et analyser leurs resultats est l'objectif principal de ce livre.

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