 |
 |
Members of the Allstat mailing list may be interested in the upcoming courses in the Social Statistics areas at the Royal Statistical Society Professional Development Centre Presenting Data, Ed Swires-Hennessy, 13 March 2008 This one-day course is the foundation to all presentations of statistical information. The basic principles of presenting information in tables, charts, maps and text are explained. These are illustrated and then reinforced through practical exercises. The course is for anyone who is involved in communicating statistics to non-statisticians or who reports on data - of any description - within organisations, to specific communities and to the general public where a message is being given. For more information please go to www.rss.org.uk/courses and click onto SOCIAL. Effective Presentation, Peter English, 18 March 2008 This one day course is for those who would like to learn more about structuring, planning and presenting information orally. Delegates learn how to present complex material in a way that aids the audience's understanding, reduce their own anxiety levels and use Microsoft PowerPoint to best effect. The course is designed to complement the RSS 'Presenting Data' course by covering more general presentation skills. This course is for statisticians, managers and researchers who are expected to deliver presentations, and who would like to be more polished and confident in doing so. For more information please go to www.rss.org.uk/courses and click onto SOCIAL An Introduction to Time Series Forecasting, Robert Sollis, 27-28 March 2008 This two-day course offers an introduction to time series forecasting. The course will explain how to forecast time series using univariate and vector statistical time series models, and how to evaluate the forecasts obtained to help decide on the best forecasting specification to be used in practice. The most well-known time series models will be covered including autoregressive moving average (ARMA) models, vector autoregressive (VAR) models, vector error correction models (VECM), and nonlinear time series models (e.g. threshold autoregressive models). Recently developed statistical procedures for evaluating the accuracy and information content of forecasts will also be discussed. This course is for applied statisticians and econometricians wanting a detailed introduction to forecasting using parametric time series models. For more information please go to www.rss.org.uk/courses and click onto SOCIAL. This message is sent on behalf of Ali Houghton RSS Training Co-ordinator RSS Professional Development Centre Tel: +44 (0)1625 504067 Fax: +44 (0)1625 267879 Resources for Associations Ltd Registered Office: South Park Road, Macclesfield, SK11 6SH Registered in England No. 4391074