Further Reading

Some texts that may be useful are listed, with brief descriptions, below. We will also, however, list the most suitable ones for each chapter at the chapter end. In alphabetical order of author:

Quantitative Methods for Business by David R. Anderson, Dennis J. Sweeney and Thomas A. Williams, 10th edition, Thomson South-Western.
A useful intermediate text as it expands on the Business Modelling part of our text. It assumes a basic mathematical knowledge, but does include the Probability you will need.

Statistics for Business and Economics by David R. Anderson, Dennis J. Sweeney and Thomas A. Williams, 8th edition, Thomson South-Western.
This provides more detail on the Describing Data, Probability and Statistics parts of our text and includes some more advanced topics; for instance, analysis of variance, experimental design and non-parametric methods. It assumes a basic knowledge of algebra.

Quantitative Methods for Accounting and Business Studies by Gordon Bancroft and George O’Sullivan, 3rd edition, McGraw-Hill.
This has a broadly similar content to our text but is intended for students taking professional accountancy examinations.

Quantitative Methods for Business and Economics by Glyn Burton, George Carrol and Stuart Wall, 2nd edition, Financial Times, Prentice-Hall.
A clear, alternative exposition of most of our topics, although it includes only Time and Money and Linear Programming from Business Modelling.

Introduction to Operations Research by Frederick S. Hillier and Gerald J. Lieberman, 9th edition, McGraw-Hill.
This is a major and longstanding detailed text on Operations Research and as such is useful for more advanced work on all the Business Modelling topics, except time and money and forecasting. It is aimed at Engineering and Maths students and so assumes ‘high school’ algebra; that is, at least the material in Essential Maths. It uses Excel.

Introduction to Management Science by Frederick S. Hillier and Mark S. Hillier, 3rd edition, McGraw-Hill.
An advanced treatment of the business modelling topics, including forecasting for business students with an emphasis on case studies.

Mathematics for Economics and Business by Ian Jacques, 6th edition, Pearson Education.
This is an excellent mathematical text which assumes little prior mathematical knowledge and goes beyond the material in our book. It is particularly geared towards Economics and includes partial differentiation, integration and matrices. It introduces some mathematical software, Maple as well as Excel.

Maths and Statistics for Business by M. Lawson, S. Hubbard and P. Pugh, Longman Scientific and Technical.
An approachable text which includes the same areas of Maths and Statistics as our text as well as some aspects of Linear Programming and Time and Money. Some mathematical background is assumed.

Statistics for Management and Economics by William Mendenhall, James R. Reinmuth and Robert J. Beaver, 7th edition, Duxbury Press.
This provides an excellent treatment of the Probability and Statistics topics and includes Quality Control and Decision Analysis from Business Modelling.

Applied Statistics and Probability for Engineers by Douglas C. Montgomery and George C. Runger, 4th edition, Wiley.
This is an excellent intermediate level Statistics text for non-mathematicians, although it does assume a basic level of maths.

Quantitative Approaches in Business Studies by Clare Morris, 7th edition, Prentice-Hall.
A well-written introduction to most of the topics we cover. It uses Excel.

Statistics for Business and Economics by Paul Newbold, William Carlson and Betty Thorne, 7th edition, Prentice-Hall.
A well-established text, renowned for being approachable and yet precise. It gives a more advanced and more mathematical treatment of the Probability and Statistics topics in our book in a similar, ‘classical’ order and uses both Excel and the statistical software Minitab.

Operations Research: Applications and Algorithms by Wayne L. Winston, 4th edition, Duxbury Press.
This intermediate to advanced text extends all the topics in Business Modelling (except Time and Money) and provides the necessary additional Maths.