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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 frequently 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 marketing will need to show that they understand and have mastered these techniques. A bank of downloadable data sets to compliment the tables provided in the textbook are provided free for you.…mehr
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 frequently 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 marketing will need to show that they understand and have mastered these techniques.
A bank of downloadable data sets to compliment the tables provided in the textbook are provided free for you.
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Autorenporträt
Dr Graeme Hutcheson specialises in the application of statistical models in social science research. He has published widely in management and education, mostly with respect to the use and interpretation of generalized regression models.
Inhaltsangabe
Measurement Scales Modeling Continuous Data Modeling Dichotomous Data Modeling Ordered Data Modeling Unordered Data Neural Networks Approximate Algorithms for Management Problems Other Statistical, Mathematical and Co-pattern Modeling Techniques
Measurement Scales Modeling Continuous Data Modeling Dichotomous Data Modeling Ordered Data Modeling Unordered Data Neural Networks Approximate Algorithms for Management Problems Other Statistical, Mathematical and Co-pattern Modeling Techniques
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