SAM Best Paper Award for 2016 announced

News

  • Author: Statistics Views
  • Date: 29 July 2016

The ASA-Wiley SAM Best Paper Award is given annually to the paper appearing in Statistical Analysis and Data Mining: The ASA Data Science Journal that best reflects the goals of the journal, which are “to encourage collaborations across disciplines, communication of novel data mining and statistical techniques to both novices and experts involved in the analysis of data from practical problems, and principled evaluation of analyses and solutions.”

thumbnail image: SAM Best Paper Award for 2016 announced

This is the first year it has been awarded and will be given out at the ASA Awards Ceremony during the Joint Statistical Meetings (JSM) in Chicago on Sunday, July 31. The winning paper is:

Wickham, H., Cook, D. and Hofmann, H. (2015), Visualizing statistical models: Removing the blindfold. Statistical Analy Data Mining, 8: 203–225. doi: 10.1002/sam.11271 (http://onlinelibrary.wiley.com/wol1/doi/10.1002/sam.11271/full)

Related Topics

Related Publications

Related Content

Site Footer

Address:

This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on StatisticsViews.com are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and StatisticsViews.com express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.