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العنوان
Clustering Multidimensional Scaling and It’s Application /
المؤلف
Moussa, Maha Abdalla Ibrahim.
هيئة الاعداد
باحث / مها عبدالله ابراهيم موسي
مشرف / عبد الفتاح محمد قنديل
مشرف / زهدي محمد نوف
مناقش / عبد الفتاح محمد قنديل
الموضوع
Multidimensional Scaling.
تاريخ النشر
2015.
عدد الصفحات
169 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الإحصاء والاحتمالات
تاريخ الإجازة
1/1/2015
مكان الإجازة
جامعة بنها - كلية التجارة - احصاء تحليليه
الفهرس
Only 14 pages are availabe for public view

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from 169

Abstract

Multidimensional scaling and cluster analysis are widely used in marketing research for positioning of different brands of the companies. It would be desired and beneficial for any company to know how its brand of products is rated among public when compared with other similar competing brands. (Verma (2013).
Multidimensional scaling can create a visual presentation of the subjective dimensions that are not directly shown in the data. By showing these objects visually on a map, it will be easier for public to associate close together objects as similar or close in terms of preference.
Cluster analysis can be used to segregate all the brands of certain product into some clusters, that assist the companies in identifying their current location within the market and who their closest rivals are. This helps the companies to pay attention and focus on their marketing activities of their brands in the same cluster and try to modify it to make it much better.
5.2 Study Data.
The data was collected by some questionnaires which were distributed among different car exhibitions found in the city of Banha, the sample size was a 20 customers. The owners of the car exhibitions were asked to give these questionnaires to their customers. The set of cars used in the questionnaires and in our experiment is presented in Table 5.1.
The Twenty customers were asked to rate the 10 cars by showing the cards bearing the name of a pair of cars. All possible pair of cars were shown, and the customers were asked to rate their preferences of one car over the.