Donald Marquardt
Donald W. Marquardt (March 13, 1929 – July 5, 1997[1]) was an American statistician, the rediscoverer of the Levenberg–Marquardt nonlinear least squares fitting algorithm.[2]
Marquardt joined DuPont in 1953 and worked there for 39 years. He also founded and managed the DuPont Quality Management & Technology Center.[1] In 1963 he published his famous paper "algorithm for least-squares estimation of nonlinear problems" in SIAM journal. Marquardt developed his algorithm to solve fitting nonlinear chemical models to laboratory data.[2] In 1975 he was elected as a Fellow of the American Statistical Association.[3]
As manager of the DuPont Applied Statistics Group, he led development of the Product Quality Management(PQM) methodology and computer systems that implemented the company's continuous improvement initiatives from the mid-1970s to the late 1990s.[4]
In 1991, he established his own company, Donald W. Marquardt and Associates, which provides consulting and training in quality management, quality assurance, ISO 9000 standards, applied statistics, strategic planning and organizational change.[1]
He died from a heart attack at the age of 68.[1]
Awards and achievements
- President of the American Statistical Association (1986)
- Elected member of the International Statistical Institute.
- Leader of the U.S. delegation to the ISO 9000 International Quality Standard writing group.
- American Society for Quality (ASQ) Shewhart Medal (1987)
- American Statistical Association Statistician of the Year (1993–94)
- American Statistical Association Founders Award (1995)
- American National Standards Institute Meritorious Service Award
References
- 1 2 3 4 Quality Digest Magazine, August 1997
- 1 2 Paul Davis (1993). Levenberg–Marquart Methods and Nonlinear Estimation, SIAM News, Vol. 26, Number 6, October 1993.
- ↑ View/Search Fellows of the ASA, accessed 2016-08-20.
- ↑ Marquardt, Donald W.; Ulery, Dana L. (1991). Product Quality Management. Wilmington,DE: E.I. du Pont de Nemours, Quality Management & Technology Center. OCLC 29224881.