Paper by leading author Noel Cressie free to read for one week

News

  • Author: Statistics Views
  • Date: 17 August 2015
  • Copyright: Image appears courtesy of Wiley

Noel Cressie has just published a paper titled “Figures of merit for simultaneous inference and comparisons in simulation experiments”, which is free to read for one week (from 17 August). The paper is published in Stat, Wiley’s innovative electronic journal for the rapid publication of novel and topical research results, publishing compact articles of the highest quality in all areas of statistical endeavour. Its purpose is to provide a means of rapid sharing of important new theoretical, methodological and applied research. Stat is a joint venture between the International Statistical Institute and Wiley.

thumbnail image: Paper by leading author Noel Cressie free to read for one week

Cressie is Distinguished Professor of Spatial Statistics at the University of Wollongong, He has published extensively in the areas of statistical modeling, analysis of spatial and spatio-temporal data, and empirical-Bayesian and Bayesian methods. Prof Cressie is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, and in 2009 he received the R.A. Fisher Lectureship, awarded by COPSS to recognize the importance of statistical methods for scientific investigations. He is the author of the book "Statistics for Spatial Data", a key reference text in spatial statistics, and co-author of Statistics for Spatio-Temporal Data, which won the 2013 DeGroot prize and the 2011 PROSE Award in the Mathematics category.

“Figures of merit for simultaneous inference and comparisons in simulation experiments” is freely available here until 24 August 2015.

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.