Quantitative techniques

By: Lucey, TMaterial type: TextTextPublication details: London D.P. Publications, 1988Edition: 3rd editionDescription: v, 682 pISBN: 9780905435824; 0905435826 Subject(s): Management -- Mathematical models | Mathematics - For operations researchDDC classification: 658.4033
Contents:
Probability and decision making; decision trees; statistics - statistical inference, hypothesis testing; correlation and regression; multiple and non-linear regression; forecasting and time series analysis; calculus; inventory control; queueing; simulation; linear programming; transportation; assignment; network analysis; financial mathematics; investment appraisal; matrix algebra; replacement analysis; application of computers in quantitative techniques; statistical and financial tables; examination techniques; solutions to exercises and examination questions.
Summary: Designed to provide a sound understanding of quantitative techniques, this manual is suitable for students on ICA, ACCA, CIMA, CIPFA and BTEC higher level courses. It has been revised to cover more material on probability, regression, sensitivity analysis and the use of computers
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Reference Books Reference Books Main Library
Reference
Reference 658.4033 LUC (Browse shelf(Opens below)) Available 000050
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Includes index

Probability and decision making; decision trees; statistics - statistical inference, hypothesis testing; correlation and regression; multiple and non-linear regression; forecasting and time series analysis; calculus; inventory control; queueing; simulation; linear programming; transportation; assignment; network analysis; financial mathematics; investment appraisal; matrix algebra; replacement analysis; application of computers in quantitative techniques; statistical and financial tables; examination techniques; solutions to exercises and examination questions.

Designed to provide a sound understanding of quantitative techniques, this manual is suitable for students on ICA, ACCA, CIMA, CIPFA and BTEC higher level courses. It has been revised to cover more material on probability, regression, sensitivity analysis and the use of computers

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