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Statistical Modeling for Management
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Statistical Modeling for Management

First Edition


March 2008 | 256 pages | SAGE Publications Ltd
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 systems

This book is ideal for students taking upper level undergraduate classes and graduate classes in statistics for business and management.


 
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

In this class, students will work on data. Therefore, it is essential for them to get familiar with some important issues as modeling continous, ordered and dichotomous data. This source contains necessary knowledge to give the logic of important analyses.

Professor Murat Aktan
Marketing , Nevsehir Haci Bektas Veli Universitesi
October 28, 2016

Sage College Publishing

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