GRENIER
Master, Signal Processing - Statistics
Emmanuel GRENIER is a professor of Quantitative Methods at NEOMA Business School. An agricultural engineer by training, he is a practitioner and generalist in statistics. He has taught statistics and data analysis to engineering and business school students, as well as doctoral students and professionals pursuing executive education. He currently teaches applied mathematics and data analysis at NEOMA. Outside of teaching, he provides advice and support in quantitative methods to his colleagues. He has worked as a statistician in research teams, which has led him to co-publish in international peer-reviewed journals like Risk Analysis. These consultancy activities have led him to acquire expertise in Statistical Process Control, Bayesian statistics, Quantitative Risk Analysis and Structural Equation Modeling.
Areas of research
Design Of Experiements
PLS Path Modeling
Bayesian statistics
BENNANI, A.-E., E.GRENIER, F.DANY, "Human factors influencing the intention of ICT appropriation by healthcare practitioners: a survey in public centers in Agadir city, south of Morocco", Journal of North African Research in Business, March 2014
10.5171/2013.607571
GRENIER, E., D.FARGETTE, C.FAUQUET, J.THRESH, "The spread of African cassava mosaic virus into and within cassava fields", Journal of Phytopathology, December 1990, no. 4, pp. 289-302
GRENIER, E., M.CHAPUT, H.SAN, DE HYS, "How plant regeneration from Mentha x piperita L. and Mentha x citrata Ehrh. leaf protoplasts affects their monoterpene composition in field conditions", Journal of Plant Physiology, April 1996, no. 5, pp. 481-488