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29th European Meeting of Statisticians event

  • Date: 20 July - 25 July 2013
  • Location: Eötvös Loránd University, Budapest, Hungary

The 29th European Meeting of Statisticians is to be held at the Eötvös Loránd University, Budapest, Hungary, from 20 to 25 July 2013

Corcoran Memorial Lecture event

  • Date: 04 October 2013
  • Location: Martin Wood Lecture Theatre, Department of Physics, University of Oxford

The Department of Statistics is celebrating its 25th Anniversary this year with a special afternoon of seminars in probability and statistics, followed by drinks. They shall be combining this event...

Presenting Data (one day course) event

  • Date: 07 November 2013
  • Location: London, UK

Statistics in Action International Workshop event

  • Date: 07 March - 10 March 2013
  • Location: Yashwantrao Chavan Maharashtra Open University, Nashik, Maharashtra, India

A four-day international workshop organized by the International Statistical Institute's Outreach Committee for South Asia - supported by the World Bank Trust Fund for Statistical Capacity Building,...

Measurement Error and Related Topics event

  • Date: 12 October 2012
  • Location: London, UK

QMEAS 2013: 3rd International Conference - Quantitative and Qualitative Methodologies in the Economic and Administrative Sciences event

  • Date: 23 May - 24 May 2013
  • Location: Technological Educational Institution of Athens

In today’s world of technology, the Quantitative and Qualitative Methods are important tools for the improvement of quality of products, services and decision making in all kinds of Business....

Sentiment Analysis event

  • Date: 29 August - 30 August 2013
  • Location: statistics.com

Aim of Course: This course is designed to give you an introduction to the algorithms, techniques and software used in sentiment analysis. Their use will be illustrated by reference to existing...

Biostatistics in R: Clinical Trial Applications event

  • Date: 24 May 2013
  • Location: statistics.com

Aim of Course: This course covers the implementation in R of statistical procedures important for the clinical trial statistician. Students completing the course will learn how to use R to compare...

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