statisticians to Texas A&M during his tenure, including Pearson, a slight man of "considerable height" who towered above Hartley when standing side by side, earning him the classic introduction from Hartley: "Never were there two more appropriate statisticians to work on the concept of range statistics." Hartley remained active at Texas A&M until 1979, when he accepted a full-time visiting professor position at Duke University while also serving as statistician with the National Testing Service in Durham, N.C., until his death on December 30, 1980. Hartley was an elected fellow of the Institute of Mathematical Statistics (1949) and the American Statistical Association (1953) as well as an elected member of the International Statistical Institute (1954). He served as president of the Eastern North American Region of the Biometric Society (1959), which was the first region formed in the present-day International Biometric Society, and as president of the American Statistical Association (1979). During his lifetime, Hartley earned many accolades for his contributions to mathematics and statistics, including the ASA's 1973 Samuel S. Wilks Medal recognizing his national and international efforts in the field of statistics. Research A prolific author, Hartley published nearly 100 papers (three-quarters of them during the final two decades of his career) in top-tiered journals until his mandatory retirement in 1977. Hartley's most well-known work includes: Biometrika Tables for Statisticians with E. Pearson in 1954 and 1972 The origination of the EM Algorithm methodology while at Iowa State in 1958. Today it is one of the most widely used estimation methods. Hartley’s F-max Test for equality of variances He also made pioneering contributions to: Politz-Simmons Estimator, which is a method for dealing with bias due to “not at home” entries in survey sampling. Hartley-Ross Estimator, which aims to estimate the mean of finite population of size N with the help of a known mean of a correlated variable. Unbiasedness proved and variance given. RHC Sampling Scheme, which estimates the population total using an unequal-probability sampling without replacement from a finite population Correspondence analysis, which is similar to principal component analysis but as applied to categorical data. Hartley's other research spanned a variety of ground-breaking topics, including: Sample survey estimation and design Mathematical optimization Variance component estimation Stochastic PERT The development of designed experiments to estimate safe doses of carcinogenic agents Legacy Through his passion for mathematics and statistics, amiable demeanor, and lively energy, Hartley won the hearts of