Workshop 1

Statistical Methods in Pig Classification in the EU

Workshop Lelystad, The Netherlands, 22 – 23 May 2000

Introduction	Mrs. Eli Olsen
Needs and perception of the EC	Mr.Jukka Niemi
EUPIGCLASS in perspective of the European Research Programmes	Mrs.Dyanne Bennink
Pig carcass classification from a historical point of view including the main problems, we are focusing on today (differences between countries for instance)	Dr. Pieter Walstra
Uncertainty in measurements, ISO standards	Dr. Poul Thyregod
Linear Regression Sampling (“40-20-40” vs. random or « representative sampling » etc.) Outliers	Dr. Thierry Dhorne
Introduction to many prediction variables by examples - automatic equipments CC, an example of the use of PCR Autofom, an example of the use of PLS	Mrs. Eli Olsen Mr. Andreas Dobrowolski
Linear Regression vs. PCR/PLS RMSE vs. RMSEP Prediction in general	Dr. Rolf Sundberg
The Industry takes the floor: Rovi-Tech	Mr. Michel Hauzeur,
The Industry takes the floor: CSB (Extract)	Dr. Klemens van Betteray
Subpopulations Accounting for subpopulations in prediction Comments on sampling and outliers	Dr. Bas Engel
Cost reduction Double Regression Surrogate predictors Comments on sampling and outliers	Dr. David Causeur
PLS Why use PLS? Estimation and validation Sampling and outliers	Dr. Rolf Sundberg
The Industry takes the floor: SFK-Technology	Mr. Svend Aage Jensen

The workshop was organized by the project group of the project Standardisation of pig carcass classification in the EU through improved statistical procedures and new technological developments (acronym: EUPIGCLASS). The project is supported by the EU (5^th Framework Programme).

The workshop was held over a period of 2 days from Monday 22 to Tuesday 23 May 2000 at ID-LELYSTAD, Edelhertweg 15, 8200 AB Lelystad, The Netherlands.

Contact person: Dr. Pieter Walstra,

Email: p.walstra@id.wag-ur.nl Tel: +31 320 238982 Fax: +31 320 238961