Rizzo, Roberto EmanueleHealy, D.De Siena, L.2017-01-062017-01-062017-02Rizzo, R E, Healy, D & De Siena, L 2017, 'Benefits of maximum likelihood estimators for fracture attribute analysis : Implications for permeability and up-scaling', Journal of Structural Geology, vol. 95, pp. 17-31. https://doi.org/10.1016/j.jsg.2016.12.0050191-8141http://hdl.handle.net/2164/7952The authors thank Andrew Hurst for support during the field work, and also Antonio Grippa, Giuseppe Palladino and Gustavo Zvirtes for help and constructive discussions during the field work. We are particularly grateful to Tom Manzocchi for his important comments that greatly improved the first version of this paper. We acknowledge constructive reviews by Julia Gale and Ken McCaffrey, which have greatly improved our manuscript. This work forms part of a NERC New Investigator award for David Healy (NE/I001743/1), which is gratefully acknowledged. Finally, Roberto Emanuele Rizzo is very appreciative of AFES (Aberdeen Formation Evaluation Society) for funding support during his PhD.156158274engfracturesmaximum likelihoodfracture networksup-scalingpermeability networksQE GeologyNatural Environment Research Council (NERC)NE/I001743/1QEJournal article10.1016/j.jsg.2016.12.00595