The discussion of the history of measurement error models by Peter Sprent
furnishes an introduction for the remainder of the volume.
The second group contains seven papers concerned with inference for the
nonlinear measurement error model. This is an active area of research and
generated considerable interest at the conference. The third group of papers
examine computational aspects of estimation. The final set of three papers
study estimators that possess robustness properties against deviations from
common model assumptions.
The organizers thank the sponsoring organizations and the National Sci-
ence Foundation for supporting the conference. We thank Carole Kohanski
for assisting with local arrangements and the AMS publication staff for their
able editorial assistance. We extend particular thanks to Leon Gieser for his
efforts on behalf of the conference.
Philip J. Brown
Wayne A. Fuller