Richard Loree Anderson
Richard L. Anderson | |
|---|---|
| Born | April 20, 1915 |
| Died | February 19, 2003 (aged 88) |
| Alma mater | Iowa State College DePauw University |
| Scientific career | |
| Fields | Econometrics |
| Institutions | University of Kentucky North Carolina State University |
| Doctoral advisor | Gerhard Tintner |
| Doctoral students | Geoffrey Watson |
Richard Loree Anderson (April 20, 1915 – February 19, 2003) was an American econometrician. He was a Professor of Statistics at North Carolina State University from 1941 to 1966. In 1967, he took up chairmanship of the newly established Department of Statistics at the University of Kentucky, a position he held until 1979.[1] In 1951 he was elected as a Fellow of the American Statistical Association.[2] While a professor at the University of Kentucky, he consulted with a number of drug companies on clinical trials. Even before, he had been consulting several computer programming companies including IMSL, BMDP, and SAS.[3]
Anderson was good friends with William Gemmell Cochran before the latter died in 1980.[4] The two had first met at Iowa State University in 1938.[4]
Research
[edit | edit source]In 1942, Anderson found the probability density function of the serial correlation coefficient when the variables are independent and identically distributed and follow the normal distribution.[5] Anderson recalled that he preliminarily calculated this based on characteristic functions and presented it in the winter of 1940, but he thought it would be intractable for N > 9.[4] The next day, he received a note from Cochran asking him to try out Cochran's theorem, which turned out to be the answer.[4]
In 1962, Anderson, W. T. Wells, and John W. Cell calculated the probability density function for the product of two noncentral chi-squared variables using the Mellin transform.[6]
In 1980, Anderson, Walter W. Stroup, and James W. Evans devised an algorithm to compute maximum likelihood estimates for the completely random balanced incomplete block design.[7]
In 1985, Anderson, Sastry G. Pantula, and Larry A. Nelson, proposed an estimator for the covariance matrix for a mixed linear model, where the model describes an experiment conducted over several sites for several years.[8] The model takes the form , where i indexes sites, j indexes "blocks" at each site, and k indexes treatments.[8]
In 1996, Anderson, Pao-Sheng Shen, and P. L. Cornelius used simulations to study nested mating designs. They concluded that asymptotic variances severely underestimate the actual variance in the simulation.[9]
Awards and honors
[edit | edit source]In 1992 Anderson was awarded the American Statistical Association's Founders Award.[10]
References
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External links
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