Summary
Contents
Subject index
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.
Neural Networks
Neural Networks
Recent business research has identified the potential for the use of neural networks in areas where statistical and structural equation modeling approaches have been traditionally used. Where little is yet known about the research area, a neural network analysis may be more useful in establishing a pattern of relationships. In a situation where there is strong previous research evidence for believing that the latent variables influence both sets of outer variables, structural equation models are likely to be the chosen technique.
The human brain processes information by interconnecting the five senses, sight, touch, smell, hearing and taste. The actual processing of this information occurs via nerves and the 10,000 million neurons which make up the average human brain. Currently, it is probably feasible ...
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