Bringing to life the most widely used quantitative measurements and statistical techniques 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 sacling and reliability issues in management- Parametric and non-parametric statistical tests- Gerneralized Linear Modeling techniques- Data-reduction techniques- Model selection and model checking- Recursive and non-recursive models- Neural networks- Knowledge-based systemsThis book is ideal for students taking upper level undergraduate classes and graduate classes in statistics for business and management.

Starting from simple hypothesis testing and then moving towards model-building, this valuable book takes readers through the basics of multivariate analysis including: which tests to use on which data; how to run analyses in SPSS for Windows and GLIM4; how to interpret results; and how to report and present the reports appropriately.

Using a unified conceptual framework (based around the Generalized Linear Model) the authors explain the commonalities and relationships between methods that include both the analysis of categorical and continuous data.

Bringing to life the most widely used quantitative measurements and statistical techniques 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 sacling and reliability issues in management- Parametric and non-parametric statistical tests- Gerneralized Linear Modeling techniques- Data-reduction techniques- Model selection and model checking- Recursive and non-recursive models- Neural networks- Knowledge-based systemsThis book is ideal for students taking upper level undergraduate classes and graduate classes in statistics for business and management.