1992 Hansen Lecture
Wayne Fuller, Iowa State U.
"Estimation in the Presence of Measurement Error"
International Statistical Review, 63(2), pp. 119-147.
Opening remarks: Joe Waksberg, Westat, Inc.
Barbara Bailar, American Statistical Association
Paul Biemer, Research Triangle Institute.
Abstract: The importance of measurement error for parameter estimation and for the design of statistical studies, particularly sample surveys, is examined. Beginning with a brief review of Hansen's contributions, the discussion concentrates on estimation problems in which measurement error leads to bias in the usual estimators. Distribution functions and regression equations are discussed, and the implications for the design of surveys are presented.