Summary
Sharon Lynn Lohr is an American statistician. She is an Emeritus Dean’s Distinguished Professor of Statistics at Arizona State University, and an independent statistical consultant.[1] Her research interests include survey sampling, design of experiments, and applications of statistics in education and criminology.[2]
Education and career edit
Lohr graduated from Calvin College in 1982. She completed her Ph.D. in statistics in 1987 at the University of Wisconsin–Madison.[1] Her dissertation, Accurate Multivariate Estimation Using Double and Triple Sampling, was supervised by Mark Finster.[3]
After retiring from Arizona State, she served a five-year term as vice president and senior statistician at Westat.[1]
Books edit
Lohr is the author of:
Recognition edit
Lohr is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute. In 2003 she became the inaugural winner of the Gertrude M. Cox Award of the Washington Statistical Society.[1]
References edit
- ^ a b c d "Sharon Lohr", A Statistician's Life: Celebrating Women in Statistics, AmStat News, March 1, 2018, retrieved 2019-08-03
- ^ "Sharon Lohr", School of Mathematical and Statistical Sciences Emeriti, Arizona State University, retrieved 2019-08-03
- ^ Sharon Lohr at the Mathematics Genealogy Project
- ^ Reviews of Sampling: Design and Analysis:
- Ziegel, Eric R. (May 2000), Technometrics, 42 (2): 223–224, doi:10.1080/00401706.2000.10486038, JSTOR 1271491, S2CID 219594144, Zbl 1426.62004
{{citation}}: CS1 maint: untitled periodical (link) - Tortora, Robert D. (October 2000), "Review", Journal of Quality Technology, 32 (4): 469–470, doi:10.1080/00224065.2000.11980036, S2CID 126325011
- Jolliffe, Flavia (2000), ESRI Data Archive Bulletin, 74: 20
{{citation}}: CS1 maint: untitled periodical (link) - Hayden, Robert W. (December 2010), Journal of Biopharmaceutical Statistics, 21 (1): 175–176, doi:10.1080/10543406.2011.532765, S2CID 118247702
{{citation}}: CS1 maint: untitled periodical (link)
- Ziegel, Eric R. (May 2000), Technometrics, 42 (2): 223–224, doi:10.1080/00401706.2000.10486038, JSTOR 1271491, S2CID 219594144, Zbl 1426.62004
- ^ Review of Measuring Crime:
- Shanmugam, Ramalingam (2020), "Measuring crime: behind the statistics", Journal of Statistical Computation and Simulation, 90 (4): 772–773, doi:10.1080/00949655.2019.1628896
External links edit
- Home page