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Regression Analysis event

  • Date: 17 May 2013
  • Location: statistics.com

Regression, perhaps the most widely used statistical technique, estimates relationships between independent (predictor or explanatory) variables and a dependent (response or outcome) variable....

2014 International Indian Statistical Association Conference event

  • Date: 11 July - 13 July 2014
  • Location: Riverside, California, USA

We cordially invite you to participate at the 2014 International Indian Statistical Association (IISA) conference by presenting your research, organizing technical sessions, chairing a session,...

Social Simulation 2014: 10th Conference of the European Social Simulation Association event

  • Date: 01 September - 05 September 2014
  • Location: Universitat Autonoma de Barcelona, Barcelona, Spain

Nationalism and Conflict: Interdisciplinary Methodological Approaches event

  • Date: 10 December - 15 December 2012
  • Location: Warsaw, Poland

Course: Practical Rasch Measurement - Core Topics event

  • Date: 03 January 2014
  • Location: www.statistics.com

Aim of Course: Rasch analysis constructs linear measures from scored observations, such as responses to multiple-choice questions, Likert scales and quality-of-life assessments. This course covers the...

How to spot a shabby statistic event

  • Date: 12 March 2013
  • Location: Babbage Lecture Theatre, New Museums Site, Downing Street, Cambridge

2013 is the International Year of Statistics, and as data gets more open we can expect to be bombarded with bucket-loads of numbers, often being used to try to impress and influence us. But can we...

Statistische Woche event

  • Date: 18 September - 21 September 2012
  • Location:

Data Innovation Day 2014 event

  • Date: 23 January 2014
  • Location: Washington DC, USA

Data Innovation Day is a celebration of the benefits generated by the current revolution in data, and it will give participants around the world the opportunity to showcase the latest innovations in...

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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.