Age, Biography and Wiki
James R. Thompson (statistician) was born on 18 June, 1938. Discover James R. Thompson (statistician)'s Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is He in this year and how He spends money? Also learn how He earned most of networth at the age of 79 years old?
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79 years old |
Zodiac Sign |
Gemini |
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18 June, 1938 |
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18 June |
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Date of death |
December 4, 2017 |
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We recommend you to check the complete list of Famous People born on 18 June.
He is a member of famous with the age 79 years old group.
James R. Thompson (statistician) Height, Weight & Measurements
At 79 years old, James R. Thompson (statistician) height not available right now. We will update James R. Thompson (statistician)'s Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
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Dating & Relationship status
He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.
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James R. Thompson (statistician) Net Worth
His net worth has been growing significantly in 2022-2023. So, how much is James R. Thompson (statistician) worth at the age of 79 years old? James R. Thompson (statistician)’s income source is mostly from being a successful . He is from . We have estimated
James R. Thompson (statistician)'s net worth
, money, salary, income, and assets.
Net Worth in 2023 |
$1 Million - $5 Million |
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Under Review |
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Pending |
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Under Review |
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James R. Thompson (statistician) Social Network
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Timeline
The MaxMedian rule is nonproprietary and was designed for investors who wish to do their own investing on a laptop with the purchase of 20 stocks. Simugram™ is an empirical data-based paradigm for portfolio selection. The algorithm synchronizes the historical performance of stocks in a selection set. The information from Simugram™ is then used to develop a high return, low risk portfolio. US Patent 7,720,738 B2, May 18, 2010. The simulation-based data analysis challenges the Efficient Market Hypothesis (EMH) and the Black-Scholes-Merton option pricing formula, making Thompson an early critic of the hypothesis in financial economics. The research was funded by $10 million NSF grants awarded to Rice University in 2003 and 2008 for Vertical Integration of Research and Education in the Mathematical Sciences (VIGRE).
During his career, Thompson authored or co-authored 14 books, including his most cited books Models for Investors in Real World Markets, Empirical Model Building: Data, Models, and Reality 2nd ed., and Statistical Process Control for Quality Improvement, co-authored with Jacek Koronacki. Thompson was a principal investigator for the United States Army Research Office (ARO), National Aeronautics and Space Administration (NASA), and the United Nations Industrial Development Organization (UNIDO). From 1991-1993, he directed a team of 12 Polish statisticians to teach statistical process control in the newly-liberated Polish factories after the fall of communism. The training manual and teachings are reflected in the previously mentioned book Statistical Process Control: The Deming Paradigm and Beyond.
Thompson was a member of the International Statistical Institute (1982). He was elected Fellow of the American Statistical Association (1984) and founded the ASA Houston Chapter in 1981. He was also elected Fellow of the Institute of Mathematical Statistics (1988).
Thompson was a long-term collaborator who united physicians and medical researchers in the Texas Medical Center with university researchers in mathematics and biostatistics to analyze coronary artery disease, cancer, and HIV/AIDS. In 1977, he began working with clinicians and researchers at the Baylor College of Medicine to statistically correlate the relationship between plasma lipid concentrations and coronary artery disease.
Thompson also served as an Adjunct Professor (1977 - 2017) at the University of Texas MD Anderson Cancer Center and the University of Texas School of Public Health. He was known for the development of the Multivariate Simulation-Based Parameter Estimation (SIMEST) model, which was used to estimate breast cancer parameters and simulate the growth and spread of malignant tumors. His work in mathematical biology also positioned him as an early proponent of the prevention and control of contagious diseases, such as HIV/AIDS, by case isolation, quarantine, and public education. He is particularly known for his work in correlating the effect that the HIV epidemic had on an increased number of tuberculosis cases in the United States.
Thompson was a longtime faculty member of Rice University in Houston, TX. He joined the university in 1970 as an Associate Professor in the Wiess School of Natural Sciences’ Department of Mathematical Sciences. He became the founding chair of the Department of Statistics in 1987. The department moved to the George R. Brown School of Engineering in 1990. Thompson retired from Rice in 2016 as the Noah Harding Emeritus Professor of Statistics.
Thompson received the Founder’s Medal as first in his class when he graduated from Vanderbilt University in 1960. While earning his doctorate degree at Princeton University, he was a Fulbright Scholar, Woodrow Wilson Fellow, and NSF Graduate Research Fellow. He was the recipient of the jointly awarded Samuel S. Wilks Memorial Award (1991) by the American Statistical Association (ASA) and the U.S. Army for his outstanding contributions to applied statistics and the advancement of scientific knowledge. He was also awarded the ASA Don Owen Award (1985) for his work in applied statistics and quality control.
Thompson graduated from Memphis High School. He earned a Bachelor of Engineering (B.E.) in 1960 from Vanderbilt University before graduating with a Master of Arts in Mathematics (M.A.) in 1963 and a Doctor of Philosophy (Ph.D.) in Mathematics in 1965 from Princeton University. His dissertation was supervised by John Wilder Tukey.
James Robert Thompson (June 18, 1938 – December 4, 2017) was an American mathematician, statistician, and university professor whose most influential work combined applied mathematics and nonparametric statistics with computing technologies to advance the fields of financial engineering and computational finance, model disease progression, assess problems in public health, and optimize quality control in industrial manufacturing.