The Science of Decision Making

Subtitle:
A Problem-Based Introduction Using Excel
Author:
Eric V. DeNardo
Format:
Hardcover

Now:R2,060.95
eBucks:eB20610

United States of America

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The Science of Decision Making

Short description

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 the models are related to nearly all of the professions.

Long description

This book provides the reader with a perspective on the efficient operation of complicated systems. Spreadsheets are used to employ and teach techniques. It includes the facets of probability that relate to decision making.

Product details

Publisher:
John Wiley & Sons
ISBN:
9780471318279
Publication date:
August 2001
Length:
263mm
Width:
208mm
Thickness:
31mm
Weight:
1510g
Pages:
705
Illustrations:
Illustrated
Readership:
General; Tertiary education; Professional & scholarly
Illustrated:
Illustrated

Review

"Collects and critiques key developments in the field...explains different perspectives on various aspects." (SciTech Book News, March 2001) "This book seeks to highlight and critique key developments in solid-phase organic synthesis...Overall, the book effectively realizes its goal..." (Journal of the American Chemical Society, Vol. 123, No. 7) "...an excellent starting point for chemists interested in solid-phase organic synthesis. Certainly, this book should be considered as an addition to any medicinal chemists library." (Journal of Medicinal Chemistry Vol. 44, No. 24, 2001) "...brings together...the latest research in the field, highlighting and reviewing some of the major developments." (Chimie Nouvelle)

Table of contents

  • Introduction
  • the science of decision making
  • getting started with spreadsheets
  • Using linear programs
  • analyzing solutions of linear programs
  • a survey of linear programs
  • networks
  • integer programs
  • Probability for decision making
  • introduction to probability models
  • discrete random variables
  • decision trees and generalizations
  • utility theory and decision analysis
  • continuous random variables
  • Stochastic systems
  • inventory
  • Markov chains
  • queueing
  • simulation
  • Game theory
  • game theory
  • Solving linear programs
  • solving linear equations
  • the simplex method
  • duality
  • Appendix
  • note on Excel

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