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Quantitative Methods for Decision Makers
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Quantitative Methods for Decision Makers

Quantitative Methods for Decision Makers

Mik Wisniewski

600 pages, parution le 07/10/2005 (4eme édition)

Résumé

Appealing both to students on introductory courses for quantitative methods and MBA and post-experience students, this respected text provides an accessible, practical introduction to an area that students often find difficult.

Concentrating on helping students to understand the relevance of quantitative methods of analysis to managers' decision-making, it focuses on the development of appropriate skills and understanding of how the techniques fit into the wider management process.

Features

  • Student-friendly, non-theoretical approach that requires only a limited level of ability in maths.
  • Uses real-life case studies (from a diverse range of companies including ICI and the NHS), which bring the techniques introduced in the text to life.
  • Focuses on both private and public sector management.
  • The material is made easy to understand and assimilate through the use of fully worked examples at the end of each chapter, which illustrate in detail how the techniques explained in the chapter can contribute to management decision making.
  • Real-life material from Financial Times or Cap Gemini included in every chapter.

Additional Support Material

  • Instructor's manual with solutions to the exercises in the text.
  • Companion website where students can download additional exercises and lecturer's can obtain password protected resources.

Sommaire

  • Introduction
  • Tools of the trade
  • Presenting management information
  • Management statistics
  • Probability and probability distributions
  • Decision making under uncertainty
  • Market research and statistical inference
  • Quality control and quality management
  • Forecasting 1: Moving averages and time series
  • Forecasting 2: Regression
  • Linear programming
  • Stock control
  • Project management
  • Simulation
  • Financial decision-making
  • Conclusion
  • A. Binomial distribution
  • B. Areas in the tail of the Normal distribution
  • C. Areas in the tail of the t distribution
  • D. Areas in the tail of the x2 distribution
  • E. Areas in the tail of the F distribution
  • F. Solutions to chapter activities
Voir tout
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Caractéristiques techniques

  PAPIER
Éditeur(s) Financial Times, Prentice Hall
Auteur(s) Mik Wisniewski
Parution 07/10/2005
Édition  4eme édition
Nb. de pages 600
Format 19,5 x 26,5
Couverture Broché
Poids 1150g
Intérieur Quadri
EAN13 9780273687894
ISBN13 978-0-273-68789-4

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