Multi-Factor and Dimensional Approach in Data Analysis
(Sprache: Englisch)
This book is unique in its structure and methodology. The book presents a comprehensive approach to statistical analysis and data mining applied to business, management and market research. We highly recommend this book to graduates, MBA and post-graduate...
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This book is unique in its structure and methodology. The book presents a comprehensive approach to statistical analysis and data mining applied to business, management and market research. We highly recommend this book to graduates, MBA and post-graduate students. This book is a great tool for practical multidimensional statistical analysis, business management, business research, market research, risk control and management. The methodology developed in this book works perfectly well for all types of nominal data regardless whether it is in a vector or matrix form. The ultimate goal here is to be able to produce innovative results which will be then used to provide important and necessary recommendations to decision makers, governments, NGOs, statistical agencies, investors, research scientists, multidisciplinary researchers, Universities etc... in order to improve their management and decision making capacities. Our next book in this direction will address similar problems in the area of Science, Technology, Engineering, Mathematics and Education.
Autoren-Porträt von Jawad Azimi, Jimbo Henri Claver
Azimi, JawadJimbo H. Claver received his PhD in Applied Mathematics and Statistics from the Moscow State University. He is a leading researcher in the area quantitative data analysis, modelling, simulation and convex optimization. He has occupied various professor positions in American, British and Japanese Universities. He is author of over 150 publications.
Bibliographische Angaben
- Autoren: Jawad Azimi , Jimbo Henri Claver
- 2018, 120 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6139934389
- ISBN-13: 9786139934386
Sprache:
Englisch
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