Description

Book Synopsis
Business Decision Analysis is part of a major new national programme of texts and modules designed for undergraduate students on Business Studies degree courses. It provides 150 hours of high quality study to be used in a supported learning environment.

Table of Contents
Part I: An Introduction to Business Decision Analysis:.

1. What is Business Decision Analysis?.

2. Model-Building in Business Decision Analysis.

3. The Components of a Mathematical Model.

4. Deterministic and Stochastic Models.

5. Single-attribute and Multi-attribute Problems.

6. Sensitivity Analysis and Model Building.

Part II: Decision Analysis:.

7. Decision Trees and Payoff Matrices.

8. Decision-Making under Conditions of Uncertainty.

9. Decision-Making under Conditions of Risk.

10. Multi-Stage Decision Problems.

11. Revising Probabilities.

12. Extensions.

Part III: Linear Programming:.

13. Formulating a Linear Programming Problem.

14. Solving Linear Programming Problems Using a Graphical Method.

15. Sensitivity Analysis of Solutions.

16. Computer Solution of Linear Programming Problems.

17. The Transportation Problem.

18. The Assignment Problem.

19. Linear Programming - Limitations and Extensions.

Part IV: Regression Analysis:.

20. Functional Relationships.

21. Bi-Variate Causal Models.

22. The Technique of Regression Analysis.

23. Regression Models and Predictive Accuracy.

24. The Analysis of Residuals.

25. Confidence Intervals and Regression Analysis.

26. The Multivariate Model.

27. The Performance of the Multivariate Model.

28. Refining the Multiple Regression Model.

29. Extending Regression Analysis.

Part V: Time Series Analysis:.

30. Time Series: an Overview.

31. Decomposition of a Time Series.

32. Non-Centred Moving Averages and Forecasting Error.

33. Exponential Smoothing.

34. Introduction to ARIMA.

Part VI: Simulation:.

35. What is Simulation?.

36. The Technique of Simulation.

37. Refining the Simulation Model.

38. Waiting Lines and Scheduling Problems.

39. Inventory Problems.

40. Waiting Lines: The Time Element.

41. Additional Topics in Simulation.

Bus Decisn Anlys

    Product form

    £25.49

    Includes FREE delivery

    RRP £29.99 – you save £4.50 (15%)

    Order before 4pm tomorrow for delivery by Fri 7 Aug 2026.

    A Paperback / softback by Graham Hackett, Peter Luffrum

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Bus Decisn Anlys by Graham Hackett

      Publisher: John Wiley and Sons Ltd
      Publication Date: Publication Date: 19/04/1999
      ISBN13: 9780631201762, 978-0631201762
      ISBN10: 0631201769

      Description

      Book Synopsis
      Business Decision Analysis is part of a major new national programme of texts and modules designed for undergraduate students on Business Studies degree courses. It provides 150 hours of high quality study to be used in a supported learning environment.

      Table of Contents
      Part I: An Introduction to Business Decision Analysis:.

      1. What is Business Decision Analysis?.

      2. Model-Building in Business Decision Analysis.

      3. The Components of a Mathematical Model.

      4. Deterministic and Stochastic Models.

      5. Single-attribute and Multi-attribute Problems.

      6. Sensitivity Analysis and Model Building.

      Part II: Decision Analysis:.

      7. Decision Trees and Payoff Matrices.

      8. Decision-Making under Conditions of Uncertainty.

      9. Decision-Making under Conditions of Risk.

      10. Multi-Stage Decision Problems.

      11. Revising Probabilities.

      12. Extensions.

      Part III: Linear Programming:.

      13. Formulating a Linear Programming Problem.

      14. Solving Linear Programming Problems Using a Graphical Method.

      15. Sensitivity Analysis of Solutions.

      16. Computer Solution of Linear Programming Problems.

      17. The Transportation Problem.

      18. The Assignment Problem.

      19. Linear Programming - Limitations and Extensions.

      Part IV: Regression Analysis:.

      20. Functional Relationships.

      21. Bi-Variate Causal Models.

      22. The Technique of Regression Analysis.

      23. Regression Models and Predictive Accuracy.

      24. The Analysis of Residuals.

      25. Confidence Intervals and Regression Analysis.

      26. The Multivariate Model.

      27. The Performance of the Multivariate Model.

      28. Refining the Multiple Regression Model.

      29. Extending Regression Analysis.

      Part V: Time Series Analysis:.

      30. Time Series: an Overview.

      31. Decomposition of a Time Series.

      32. Non-Centred Moving Averages and Forecasting Error.

      33. Exponential Smoothing.

      34. Introduction to ARIMA.

      Part VI: Simulation:.

      35. What is Simulation?.

      36. The Technique of Simulation.

      37. Refining the Simulation Model.

      38. Waiting Lines and Scheduling Problems.

      39. Inventory Problems.

      40. Waiting Lines: The Time Element.

      41. Additional Topics in Simulation.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account