### Education & Training

- PhD (Statistics) from Stanford University (1963)
- MS (Statistics) from Stanford University (1962)
- BS (Mathematics) from the University of Chicago (1960)

### Research Interests

- Measurement and reporting of uncertainty
- Linear and nonlinear measurement error regression models
- Theories of statistical inference
- Statistical meta-analysis
- Data mining and statistical learning theory
- Applications of statistical models and methods to the biological, physical, and behavioral sciences

### Quote

“Classical statistical papers and books, with some notable exceptions, have tended to treat statistical inference as being based on a single experiment, and concentrated on the design and inferential analysis of that one experiment. Science, however, is a process of learning and exploration, with each experiment motivating and guiding the next one. Modern statistics has started to give greater consideration to designing this process of learning: for example, data mining and statistical learning theory, statistical meta-analysis and adaptive clinical trials. In the learning process, communication from one investigator to another of well-understood and meaningful measures of uncertainty is essential.”

### Representative Publications

- Probability Models and Applications (with C. Derman and I. Olkin). Macmillan, New York, 1980. Second Edition, 1994.
- Estimation in a multivariate “errors in variables” regression model: Large sample results. Annals of Statistics, 9 (1981), 24-44.
- The effect of positive dependence on chi-squared tests for categorical data (with D. S. Moore). Journal of the Royal Statistics Society, Series B 47 (1985), 459-465.
- The nonexistence of 100(1-α)% confidence sets of finite expected diameter in errors-in-variables and related models (with J.T. Hwang). Annals of Statistics, 15 (1987), 1351-1362.
- Improvements of the naive approach to estimation in nonlinear errors-in-variables regression models. Contemporary Mathematics, 112 (1990), 99-114.
- Stochastically dependent effect sizes (with I. Olkin). Chapter 22 in Handbook of Research Synthesis (H. Cooper and L. Hedges, Eds.). Russell Sage Foundation, New York, 1994.
- Models for estimating the number of unpublished studies (with I. Olkin). Statistics in Medicine, 15 (1996), 2493-2507.
- The importance of assessing measurement reliability in multivariate regression. Journal of the American Statistics Association, 87 (1992), 696-707.
- Assessing uncertainty in measurement. Statistical Science, 13 (1998), 277-290.