{"product_id":"the-science-of-decision-making-isbn-9780471318279","title":"The Science of Decision Making","description":"\u003cp\u003e\u003ci\u003eThe Science of Decision Making: A Problem-Based Introduction Using Excel,\u003c\/i\u003e is a comprehensive, coherent, problems-based approach to learning the science of decision-making.  It includes models of operations research for engineering, management, ecomomics and the sciences.\u003c\/p\u003e  \u003cp\u003eIntended for undergraduate and master's level students in engineering, management, economics, and the sciences taking courses in Operations Research, Introduction to Deterministic and Stochastic Methods, Management Science, Linear Programming, and Probabilistic Models. \u003c\/p\u003eDieses Lehrbuch bietet eine kohärente Darstellung der Entscheidungstheorie. Berücksichtigt werden Modelle der Unternehmensforschung (Operations Research) und Wahrscheinlichkeitsmodelle, die für Entscheidungsprozesse relevant sind. Ein besonderer Schwerpunkt liegt auf der Betrachtung der Beziehungen zwischen diesen Modellen und ihrer Relevanz für Entscheidungsfindungen in fast allen Berufsgruppen. Mit Hilfe von Excel-Spreadsheets werden verschiedene Techniken und ihre Anwendung genau erläutert und beschrieben. \"The Science of Decision Making \" zeigt dem Leser anschaulich, wie er mit komplexen Systemen effizient umgeht.  Preface.\u003cbr\u003e \u003cbr\u003e PART A: INTRODUCTION.\u003cbr\u003e \u003cbr\u003e The Science of Decision Making.\u003cbr\u003e \u003cbr\u003e Getting Started with Spreadsheets.\u003cbr\u003e \u003cbr\u003e PART B: USING LINEAR PROGRAMS.\u003cbr\u003e \u003cbr\u003e Analyzing Solutions of Linear Programs.\u003cbr\u003e \u003cbr\u003e A Survey of Linear Programs.\u003cbr\u003e \u003cbr\u003e Networks.\u003cbr\u003e \u003cbr\u003e Integer Programs.\u003cbr\u003e \u003cbr\u003e PART C: PROBABILITY FOR DECISION MAKING.\u003cbr\u003e \u003cbr\u003e Introduction to Probability Models.\u003cbr\u003e \u003cbr\u003e Discrete Random Variables.\u003cbr\u003e \u003cbr\u003e Decision Trees and Generalizations.\u003cbr\u003e \u003cbr\u003e Utility Theory and Decision Analysis.\u003cbr\u003e \u003cbr\u003e Continuous Random Variables.\u003cbr\u003e \u003cbr\u003e PART D: STOCHASTIC SYSTEMS.\u003cbr\u003e \u003cbr\u003e Inventory.\u003cbr\u003e \u003cbr\u003e Markov Chains.\u003cbr\u003e \u003cbr\u003e Queueing.\u003cbr\u003e \u003cbr\u003e Simulation.\u003cbr\u003e \u003cbr\u003e PART E: GAME THEORY.\u003cbr\u003e \u003cbr\u003e Game Theory.\u003cbr\u003e \u003cbr\u003e PART F: SOLVING LINEAR PROGRAMS.\u003cbr\u003e \u003cbr\u003e Solving Linear Equations.\u003cbr\u003e \u003cbr\u003e The Simplex Method.\u003cbr\u003e \u003cbr\u003e Duality.\u003cbr\u003e \u003cbr\u003e Appendix: Note on Excel.\u003cbr\u003e \u003cbr\u003e Index. Educated at Princeton and Northwestern Universities, \u003cb\u003eEric V. Denardo\u003c\/b\u003e worked for AT\u0026amp;T and The Rand Corporation before joining the faculty of Yale University. His work is noted for its breadth, innovation, and elegance.  \u003cb\u003eLearn how to model and solve real decision-making problems using Excel.\u003c\/b\u003e  \u003cp\u003eThis book is a practical, accessible, engaging, and deeply penetrating introduction to the science of decision making. It is a successful fusion of problem-based learning and spreadsheet computation with decision science. It surveys the modfels of operations research and of probability.\u003c\/p\u003e \u003cp\u003eAs you work through the problems within the chapters, you will acquire a potent set of tools for solving problems, and you'll see how to make practical use of them. You will find examples from engineering, economics, finance, operations management, business, medical decision making, and the sciences. You will see how to use the methodology in a variety of academic disciplines and career paths.\u003c\/p\u003e \u003cp\u003eFeatures:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cdiv\u003eProblem-based learning enhanced by realistic examples drawn from a broad range of disciplines.\u003c\/div\u003e \u003c\/li\u003e \u003cli\u003e \u003cdiv\u003eDepth of understanding, enabled by the marriage of the methods of operations research with spreadsheet computation.\u003c\/div\u003e \u003c\/li\u003e \u003cli\u003e \u003cdiv\u003eBreadth of coverage, welding models of probability to those of decision making.\u003c\/div\u003e \u003c\/li\u003e \u003cli\u003e \u003cdiv\u003eSelf-contained as concerns Excel.\u003c\/div\u003e \u003c\/li\u003e \u003cli\u003e \u003cdiv\u003eUseful Add-Ins. A CD-ROM packaged with the text, contains Premium Solver for Education. TreePlan. RiskSim. several useful functions and appropriate data sets.\u003c\/div\u003e \u003c\/li\u003e \u003c\/ul\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990335799525,"sku":"NP9780471318279","price":205.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471318279.jpg?v=1761787406","url":"https:\/\/k12savings.com\/es\/products\/the-science-of-decision-making-isbn-9780471318279","provider":"K12savings","version":"1.0","type":"link"}