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Mary Mulry

From Wikipedia, the free encyclopedia

Mary Helen Mulry (also published as Mary Mulry-Liggan) is an American demographic statistician who works for the United States Census Bureau and has published scholarly works about census accuracy.[1]

Education and career

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Mulry majored in mathematics at Texas Christian University, graduating in 1972 as the university's top mathematics student.[1][2] She went to Indiana University Bloomington for graduate study in mathematics, earning a master's degree in mathematics in 1975, a second master's degree in statistics in 1977, and a Ph.D. in mathematics in 1978.[1] Her dissertation, Equivariant -Extension Properties, concerned equivariant topology and was supervised by Jan Jaworowski.[3][4]

Since completing her doctorate, Mulry has alternated between working for industry (at the System Planning Corporation, Lockheed Martin, M/A/R/C Research, and as an independent consultant) and for the United States Census Bureau (1980–1983, 1984–1997, and 2001–present). Since 2001 she has been a principal researcher for the Census Bureau, in the Center for Statistical Research and Methodology.[1]

Mulry chaired the methodology section of the Washington Statistical Society in 1986–1987.[5] She was vice president of the American Statistical Association from 2011 to 2013.

Recognition

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Mulry was elected as a Fellow of the American Statistical Association in 1994.[6]

References

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  1. ^ a b c d "Mary H. Mulry", Our researchers, United States Census Bureau, retrieved 2021-01-26
  2. ^ Afflerbach, Libby (25 April 1972), "Senior Scholars Named At Honors Day Ceremonies", The Daily Skiff, Texas Christian University, p. 7
  3. ^ Mulry, Mary Helen (1978), Equivariant -Extension Properties (Ph.D. thesis), Indiana University, ProQuest 302903139
  4. ^ Mary Mulry at the Mathematics Genealogy Project
  5. ^ Brock, Dwight B. (2019), "Chairpersons of Methodology Section", Washington Statistical Society History Through August, 2019 (PDF), Washington Statistical Society, p. 22
  6. ^ ASA Fellows list, American Statistical Association, retrieved 2021-01-26