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Visualising Statistics: The importance of seeing not just describing data feature

  • Authors: Andy Kirk
  • Published Date: Nov 11, 2014

From the moment Hans Rosling entertained us with his energetic TEDTalk of 2006, breathlessly commentating on the elegant motion of a screen full of bubbles, the interest in and awareness of...

Some statistical aspects of steel corrosion feature

  • Authors: Marcin Kamiński
  • Published Date: Oct 10, 2014

It is widely known that many materials, especially steel, are subjected to aging processes like surface corrosion or systematic decreases of certain mechanical parameters after cyclic loading and/or...

Civil Engineer Turned Environmental Data Scientist Harnesses Big Environmental Data at UNESCO-IHE feature

  • Authors: Lillian Pierson, P.E.
  • Published Date: Dec 08, 2014

At this year’s European Geosciences Union General Assembly, Dr Gerald A. Corzo presented an interesting talk on his work in hydroinformatics – or, modelling and information systems for water...

Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining - An interview with co-author Simon Munzert feature

  • Authors: Statistics Views
  • Published Date: Dec 15, 2014

This month, Wiley are proud to publish Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining by Simon Munzert, Christian Rubba, Peter Meissner and Dominic Nyhuis. The...

The Life of a Bayesian Boy: An interview with Thomas Hoskyns Leonard feature

  • Authors: Statistics Views
  • Published Date: May 16, 2014

Thomas Hoskyns Leonard is a Retired Professor of Statistics, formerly of the Universities of Wisconsin and Edinburgh. He studied at Imperial College and University College London from 1966-72, and...

How do you use Big Data to drive Marketing Optimization? feature

  • Authors: Lillian Pierson
  • Published Date: Jul 03, 2013

The Evolution of [X+1] [X+1], or [X+1] Origin Digital Marketing Hub, is a marketing data management platform for the storage, integration, analysis, and visualization of marketing data. [X+1] helps...

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die - An interview with author Eric Siegel feature

  • Authors: Statistics Views
  • Published Date: Oct 05, 2014

Last year, Wiley was proud to publish Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. In this rich, entertaining primer, former Columbia University professor and...

Bayesian Methods for Business and Management feature

  • Authors: Statistics Views
  • Published Date: Feb 03, 2015

Towards the end of last year, Wiley was proud to publish Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems by Eugene D. Hahn, which has an accessible approach and...

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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.