英国立博集团

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学术报告
2012.7.23 Prof. Hui Tak Kee : How Importance of Statistics in Research
发布时间:2012-10-13        浏览次数:244

日期:2012.7.23 下午3点
地点:629会议室

Speaker: Prof. Hui Tak Kee
Topic:How Importance of Statistics in Research

Abstract: Statistics is one of the tools in analyzing the data. Quantitative approach such as the statistical analysis seems to be more appropriate to support one‘s idea than the qualitative approach. Illustration with a few published articles will be discussed.With the computer packages, one just needs to choose the required techniques and interpret the results obtained.However,one needs to be very cautious in getting the dataset. The way one getting the data is important as it may violate one of the assumptions in the statistical techniques besides the basic assumptions.

Bio: Dr. Hui received his PhD in Statistics from Department of Statistics, University of Toronto in 1983. He served as the Deputy of Director of NUS Business Graduate School from 1990-1993, National University of Singapore. He was also the Acting Head of Department of Decision Sciences and MBA (Mandarin) Program Director from 1995-1996. Dr. Hui was a Visiting scholar at various Business Schools, including University of British Columbia, University of Toronto, California State University and Chinese University of Hong Kong. Most recently, he was Visiting Professor of Jimei Business School, South China University of Technology and Maejo University, SIM University. He has taught in the BBA/MBA programs at the NUS Business School and also conducted executive development programs for business executives in the region. Dr. Hui has published extensively in various international journals, including the Journal of Operational Research Society, Omega, Applied Financial Economics, Applied Economics Tourism Management, Service Industries Journal and Journal of Travel Research. He has previously served on the editorial board of various journals including Advances in Hospitality and Leisure, The Open Operational Research Journal, The International Journal of Data Analysis Techniques and Strategies, .The International Journal of Applied Management Science, The Open Management Journal, The Open Statistics and Probability Journal and The Open Studies Journal.

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