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      Symposium to Honour the 80th birthday of John Nelder, FRS

The statistics group at Imperial College is organising the above event, 
to take place on the South Kensington campus of Imperial College London 
on 29-30th March 2004.

If you intend to attend please register via the website
http://stats.ma.ic.ac.uk/Nelder
so that we know the numbers for tea and coffee, etc.

Contact:   Prof Martin Crowder ([log in to unmask])


PROGRAMME

Day 1 March 29th, 2004
----------------------

0930  Arrival: (Room 344, Huxley Building)

1015  Introductory remarks: Sir Richard Sykes, Rector of Imperial
College
      Prof David Hand, Head of Statistics, Department of Mathematics,
Imperial College

1030  Prof Yudi Pawitan, Karolinska Institute
      Likelihood for statistical modelling and inference.

1130  Coffee (344)

1200  Prof Rosemary Bailey, Queen Mary College
      Principles of designed experiments in John Nelder's papers. 

1300  Lunch (Sherfield main dining hall) 

1430  Prof Roger Payne, Rothamsted Experimental Station
      Algorithms, data structures and languages - the computational
      ingredients for innovative analysis.

1530  Tea (344)

1600  Prof Jon Wakefield, University of Washington
      Non-linear regression modelling.

1700  Prof Stephen Senn, University of Glasgow
      From General Balance to Generalised Models (Both Linear and
Hierarchical)

1830  Dinner (SCR Ante-room)
      Prof Michael Healy


Day 2 March 30th, 2004
----------------------

0930  Prof Youngjo Lee, Seoul National University
      Likelihood-based models beyond GLMs. 

1030  Coffee

1100  Dr Brian Cullis, Wagga Wagga Agricultural Institute
      Perspectives on Anova, REML, and a general linear mixed model.
 
1200  Prof Sir David Cox, Nuffield College, Oxford
      Some remarks on model criticism.

1300  Lunch (Sherfield main dining hall), Posters

1500  Prof Brian Ripley, University of Oxford
      Selecting amongst large classes of models.

1600  Closing remarks, Tea 

All talks (except Prof Healy) take place in the Clore Lecture Theatre, 
Department of Mathematics, Huxley Building, 180 Queen's Gate.