Survey Methodology
A conversation with Wayne A. Fuller

by Jae Kwang KimNote 1

  • Release date: June 29, 2026
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Abstract

Wayne A. Fuller is a leading figure in statistics whose career at Iowa State University (ISU) began in 1959; he is now Distinguished Professor Emeritus in Statistics and Economics. This article briefly recounts his early life and training in agricultural economics at ISU and highlights influential contributions spanning time series analysis, measurement error models, and survey sampling. It documents his impact through seminal textbooks, methodological advances such as the Dickey-Fuller test and regression estimation, sustained work on major operational surveys (e.g., the National Resources Inventory), and mentorship of many graduate students. The article includes an interview conducted on May 20th, 2025, at Professor Fuller’s home.

Key Words: Measurement error models; National Resources Inventory; Regression estimation; Survey sampling; Time series analysis.

Table of contents

How to cite

Kim, J.K. (2026). A conversation with Wayne A. Fuller. Survey Methodology, 52(1), 271-284. Available at: http://www.statcan.gc.ca/pub/12-001-x/2026001/article/00001-eng.pdf.

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ISSN : 1492-0921

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Survey Methodology usually publishes innovative theoretical or applied research papers, and sometimes review papers, that provide new insights on statistical methods relevant to National Statistical Offices and other statistical organizations. Topics of interest are provided on the journal web site (www.statcan.gc.ca/surveymethodology). Authors can submit papers either to the regular section of the Journal or to the short notes section for contributions under 3,000 words, including tables, figures and references. Although the review process may be streamlined for short notes, all papers are peer-reviewed. However, the authors retain full responsibility for the contents of their papers, and opinions expressed are not necessarily those of the Editorial Board or of Statistics Canada.

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Published by authority of the Minister responsible for Statistics Canada.

© His Majesty the King in Right of Canada, as represented by the Minister of Industry, 2026

Use of this publication is governed by the Statistics Canada Open Licence Agreement.

Catalogue No. 12-001-X

Frequency: Semi-annual

Ottawa

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