Successful businesses need to ensure their products - or services - are reliable and reasonably priced. They also need to develop existing products and introduce innovative ones if they are to remain competitive in the future. All this has to be achieved while keeping costs within strict limits and is applicable to all business sectors, whether in public ownership or in the private sector. Statistical methods and operations research techniques offer an opportunity to meet his challenge in an interesting and imaginative way. The emphasis in this book is on using these tools creatively to provide accurate market information and realistic forecasts, reducing undesirable variation in processes and improving their performance and making the most efficient use of resources for research and development.
Statistics in Management Science provides senior-level students of management science and practising managers with a guide to the powerful statistical methods that are currently available for optimising and improving business processes. The continual emphasis of practically applying the methods to real situations motivates the reader, as does the wide variety of examples, case studies and exercises.
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This work introduces senior level students of management science and practising managers to the modern powerful statistical methods that are available for optimising and improving business processes. Using realistic case studies from business, the book explains the key statistical concepts for postgraduate management courses in statistical methods. In particular, the authors focus on the use of probabilistic methods and statistical analysis in a business context and the value of these methods for managers.
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