Richard Valliant
Research Professor, ISR and JPSM, University of Maryland
Valliant received a PhD in biostatistics from Johns Hopkins University. His current research interests include the use of models in survey estimation, price index estimation, and analysis of complex survey data. He has over 25 years of practical survey experience, including work on the Consumer Price Index, Producer Price Index, and other surveys that supply some of the nation's important economic indicators. He is a fellow of the American Statistical Association and has served on the editorial boards of three statistical journals.
Selected Publications:
"The Effect of Multiple Weight Adjustments on Variance Estimation" (2003), accepted by Journal of Official Statistics.
"WesVar: Software for Complex Survey Data Analysis" (2003) with H. Choudhry, Proceedings of Statistics Canada Symposium 2002, to appear.
"Variance Estimation for the General Regression Estimator" (2002), Survey Methodology, 28, 103-114.
Finite Population Sampling and Inference: A Prediction Approach (2000), with Alan H. Dorfman and Richard M. Royall, New York: John Wiley.
"An Application of Restricted Regression Estimation to Post-Stratification in a Household Survey," (1996) with Bodhini Jayasuriya, Survey Methodology, 22, 127-137.
"Post-Stratification and Conditional Variance Estimation," (1993), Journal of the American Statistical Association, 88, 89-96.
"Generalized Variance Functions in Stratified Two-Stage Sampling," (1987), Journal of the American Statistical Association, 82, 499-508.