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Statistical modeling for management

By: Hutcheson, Graeme D.
Publisher: Los Angeles Sage Publications 2008Description: xviii, 235 p.ISBN: 9780761970125.Subject(s): Management - Mathematical models | Management - Statistical methodsDDC classification: 519.5024658 Summary: Bringing to life the most widely used quantitative measurements and a statistical technique in marketing, this book is packed with user-friendly descriptions, examples and study applications. The process of making marketing decisions is increasingly dependent on quantitative analysis and the use of specific statistical tools and techniques which can be tailored and adapted to solve particular marketing problems. Any student hoping to enter the world of management will need to show that they understand and have mastered these techniques. This book will help them to do this and covers the following key topics: Measurement scaling and reliability issues in management Parametric and non-parametric statistical tests Generalized Linear Modeling techniques Data-reduction techniques Model selection and model checking Recursive and non-recursive models Neural networks Knowledge-based systems This book is ideal for students taking upper level undergraduate classes and graduate classes in statistics for business and management. (519.5024658 H8S8) 165462
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Bringing to life the most widely used quantitative measurements and a statistical technique in marketing, this book is packed with user-friendly descriptions, examples and study applications. The process of making marketing decisions is increasingly dependent on quantitative analysis and the use of specific statistical tools and techniques which can be tailored and adapted to solve particular marketing problems. Any student hoping to enter the world of management will need to show that they understand and have mastered these techniques. This book will help them to do this and covers the following key topics: Measurement scaling and reliability issues in management Parametric and non-parametric statistical tests Generalized Linear Modeling techniques Data-reduction techniques Model selection and model checking Recursive and non-recursive models Neural networks Knowledge-based systems This book is ideal for students taking upper level undergraduate classes and graduate classes in statistics for business and management. (519.5024658 H8S8) 165462

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