Overview

Richard Valliant, PhD, is a Research Professor Emeritus at the University of Michigan and the Joint Program for Survey Methodology at the University of Maryland. He has over 40 years of experience in survey sampling, estimation theory, and statistical computing. He was formerly an Associate Director at Westat and a mathematical statistician with the Bureau of Labor Statistics. He has a range of applied experience in survey estimation and sample design on a variety of establishment, institutional, and household surveys.

Valliant is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has been an editor of several statistical journals.

Valliant recently coauthored two books—Survey Weights: A Step-by-Step Guide to Calculation and Practical Tools for Designing and Weighting Survey Samples, 2nd edition— and a chapter on Mixed‐Mode Surveys: Design, Estimation, and Adjustment Methods in Advances in Comparative Survey Methods.

In recognition of his contributions to the field, Valliant has been named a Westat nonresident Senior Statistical Fellow and serves on the Statistical Fellows Committee, which provides consultation on important survey statistics issues and addresses recent advances in applied statistics.

Education

• PhD, Biostatistics, Johns Hopkins University
• MS, Statistics, Cornell University
• BS, Mathematics, University of Arkansas