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An important part of research in general and risk assessment (part of risk analysis) in particular is the science of statistics. Statistical techniques are also applicable to process the data of your company into an quantitative insight of your company processes and your product. Statistics are also applicable to assess the quantitative relations between the quality of your raw material, process conditions and (intermediate) products. This information can support your decisions considering process design and control.
When and where necessary, I work together with Paul Baggelaar, a statistician with may years of experience in water research and management.
Publications and presentations
2011
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Van Lieverloo, J.H.M., M. de Roode, M. Fox, M.H. Zwietering and Wells-Bennik, M.H.J. (2011). Multivariate regression model of thermal inactivation of Listeria monocytogenes in liquid food products. Presentation at the 7th International Conference Predictive Modelling of Food Quality and Safety, Dublin, Ireland, 12-15 September 2011.
- Van Lieverloo, J.H.M., Hoogenboezem, W., Veenendaal, G. and Van der Kooij, D. (under review) Variability of invertebrate abundance in drinking water distribution systems in the Netherlands and mean correlation with biostability and sediment volumes. Water Research.
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Van Lieverloo, J.H.M., Meeuwisse, J., Wagendorp, A., Fox, M.B. and Wells-Bennik, M.H.J. (2009). Estimating undetectably low post-pasteurization recontamination levels of milk with pathogens using surrogate microbial variables. Proceedings 6th International Conference of Predictive Modelling in Foods, Washington, USA, 8-12 September
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Van Lieverloo, J.H.M., Willig, C.P., A., Fox, M.B. and Wells-Bennik, M.H.J. (2009). Estimating the probability of undetected failure of pasteurization process control using Fault Tree Analysis. Proceedings 6th International Conference of Predictive Modelling in Foods, Washington, USA, 8-12 September
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