Description

Book Synopsis
This text is a coherent account of the science of decision making. It includes the models of operations research and those models of probability that relate to decision making. An emphasis in placed between these connections and relates these models to nearly all of the professions.

Table of Contents
Preface.

PART A: INTRODUCTION.

The Science of Decision Making.

Getting Started with Spreadsheets.

PART B: USING LINEAR PROGRAMS.

Analyzing Solutions of Linear Programs.

A Survey of Linear Programs.

Networks.

Integer Programs.

PART C: PROBABILITY FOR DECISION MAKING.

Introduction to Probability Models.

Discrete Random Variables.

Decision Trees and Generalizations.

Utility Theory and Decision Analysis.

Continuous Random Variables.

PART D: STOCHASTIC SYSTEMS.

Inventory.

Markov Chains.

Queueing.

Simulation.

PART E: GAME THEORY.

Game Theory.

PART F: SOLVING LINEAR PROGRAMS.

Solving Linear Equations.

The Simplex Method.

Duality.

Appendix: Note on Excel.

Index.

Science of Decision Making A ProblemBased

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    A Paperback / softback by Eric V. Denardo

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      View other formats and editions of Science of Decision Making A ProblemBased by Eric V. Denardo

      Publisher: John Wiley & Sons Inc
      Publication Date: Publication Date: 03/09/2001
      ISBN13: 9780471318279, 978-0471318279
      ISBN10: 0471318272
      Also in:
      Management decision making Mathematics Linear programming Mechanical engineering and materials

      Description

      Book Synopsis
      This text is a coherent account of the science of decision making. It includes the models of operations research and those models of probability that relate to decision making. An emphasis in placed between these connections and relates these models to nearly all of the professions.

      Table of Contents
      Preface.

      PART A: INTRODUCTION.

      The Science of Decision Making.

      Getting Started with Spreadsheets.

      PART B: USING LINEAR PROGRAMS.

      Analyzing Solutions of Linear Programs.

      A Survey of Linear Programs.

      Networks.

      Integer Programs.

      PART C: PROBABILITY FOR DECISION MAKING.

      Introduction to Probability Models.

      Discrete Random Variables.

      Decision Trees and Generalizations.

      Utility Theory and Decision Analysis.

      Continuous Random Variables.

      PART D: STOCHASTIC SYSTEMS.

      Inventory.

      Markov Chains.

      Queueing.

      Simulation.

      PART E: GAME THEORY.

      Game Theory.

      PART F: SOLVING LINEAR PROGRAMS.

      Solving Linear Equations.

      The Simplex Method.

      Duality.

      Appendix: Note on Excel.

      Index.

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