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Kaye Marion Kaye E. Marion, B.Sc. M. Admin, is a Senior Lecturer in the Statistics and Operations Research Group of the School of Mathematical and Geospatial Sciences at RMIT, where she has the responsibility for the development of programs and teaching of operations research, econometrics, time series analysis, forecasting and simulation modelling. Following a period as an industrial chemist, she gained extensive experience in applied statistics and market research at the Gas & Fuel Corporation, BP Aust. Ltd. and BHP Co. Ltd. Since joining RMIT in 1973, her consulting work has covered a wide range of industries and problem areas and she places particular emphasis on the use of graphical techniques to identify relationships and communicate analytical results in plain English. She is Director of StatsWorks, the consulting arm of the School. Recent consulting projects she has personally carried out have included: Regression analyses (for instance applied to performance benchmarking (including an application for Water Authorities), missing values, growth curve tests, credit scoring systems); Statistical analyses (including exploratory data analysis, design of experiments, factorial designs, sample surveys); Time series analyses (intervention analysis, multivariate modelling) and forecasting (including acting as an expert witness in court cases involving insurance claims, license agreements). Kaye has
participated in the Mathematics in Industry Workshops. See MISG 2005 |
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Contact details
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Telephone: |
(03) 9925 3162 (bus) |
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(03) 9380 6678 (home) |
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0417 80 6678 (mobile) |
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Facsmile: |
(03) 9925 2454 |
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Email: |
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Mailing: |
12 Piera Street, Brunswick East, Vic 3057 Australia |
Using data in real life:
My trips on M>Trams (in Microsoft Word)
Australia's Age pyramids (a Microsoft Powerpoint Show – You might have to open Powerpoint first) What shape would you call it now?
Two views of various share prices indexes (in Microsoft Excel). Compare the original data with a comparison with 2 Jan 1992 = 100 (Select the comparison sheet in the Share_Indexes.xls workbook).
Forecasting: Red wine sales & Electricity demand using Parzen's ARAR technique
Graphical excellence: (A Powerpoint lesson in Graphical_Excellence.ppt).
