mw. I.M. (Inez) Zwetsloot MSc
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Faculteit Economie en Bedrijfskunde
Sectie Operations Management
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Plantage Muidergracht
12
1018 TV Amsterdam
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I.M.Zwetsloot@uva.nl
T: 0205255203
Positions
PhD student in Industrial Statistics at the Amsterdam Business School.
Consultant at IBIS UvA.
Research Interests
Industrial statistics with a focus on statistical process control, EWMA control charting and estimation.
Profile
After her bachelor in econometrics at the University of Amsterdam, Inez started her research master at the Tinbergen Institute. She wrote her research thesis under the supervision of prof.dr. Ronald J.M.M. Does and dr. Marit Schoonhoven. The title of her thesis is: “The effects of non-normally distributed data on the performance of the EWMA Control Chart”, in which she investigated the effect of an estimator on the efficiency of EWMA Control Chart. She finished her studies in the Fall of 2012. Since November 1st, 2012, Inez Zwetsloot works for IBIS UvA as a consultant and PhD student
Year 2014/2015
- Quantitative Methods, MBA.
Year 2013/2014
- Quantitative Methods, MBA
Year 2012/2013
- Introduction to Quantitative Methods, Business Studies
- Quantitative Methods, Business Studies
2015
- N.A. Saleh, M.A. Mahmoud, L.A. Jones-Farmer, I.M. Zwetsloot & W.H. Woodall (in press). Another Look at the EWMA Control Chart with Estimated Parameters. Journal of Quality Technology.
- I.M. Zwetsloot & R.J.M.M. Does (2015). Quality Quandaries: improving revenue by attracting more clients online. Quality Engineering, 27 (1), 130-137. doi: 10.1080/08982112.2014.968668
- I.M. Zwetsloot, M. Schoonhoven & R.J.M.M. Does (in press). A Robust Phase I EWMA Chart for Dispersion. Quality and Reliability Engineering International. doi: 10.1002/qre.1655
- I.M. Zwetsloot, M. Schoonhoven & R.J.M.M. Does (in press). Robust Point Location Estimators for the EWMA Control Chart. Quality Technology and Quantitative Management.
2014
- I.M. Zwetsloot, M. Schoonhoven & R.J.M.M. Does (2014). A robust estimator for location in Phase I based on an EWMA chart. Journal of Quality Technology, 46 (4), 302-316.
