Janis E. Johnston (born 1957)[1] is an American statistician, sociologist, and book author known for her work on permutation tests in statistics. Johnston earned a Ph.D. in 2006 from Colorado State University, and works as a social science analyst for the Food and Nutrition Service of the United States Department of Agriculture.[2]
Her books include:
- A Chronicle of Permutation Statistical Methods: 1920–2000, and Beyond (with Kenneth J. Berry and Paul W. Mielke Jr., Springer, 2014)[3]
- Inequality: Social Class and Its Consequences (edited with D. Stanley Eitzen, Paradigm Publishers, 2007, and Routledge, 2015)
- Permutation Statistical Methods: An Integrated Approach (with Kenneth J. Berry and Paul W. Mielke Jr., Springer, 2016)[4]
- The Measurement of Association: A Permutation Statistical Approach (with Kenneth J. Berry and Paul W. Mielke Jr., Springer, 2018)
- A Primer of Permutation Statistical Methods (with Kenneth J. Berry and Paul W. Mielke Jr., Springer, 2019)[5]
References
- ↑ Birth year from Library of Congress catalog entry, retrieved 2020-02-19
- ↑ Panelist biography from M.A. and Ph.D. Alumni Panel: Non-Academia Careers in the Social Sciences, Colorado State University Department of Sociology, March 29, 2019, accessed 2019-11-24.
- ↑ Reviews of A Chronicle of Permutation Statistical Methods:
- Rosenblad, Andreas (April 2015), International Statistical Review, 83 (1): 165–167, doi:10.1111/insr.12095_6
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: CS1 maint: untitled periodical (link) - Senn, Stephen (May 2016), BSHM Bulletin, 31 (2): 155–156, doi:10.1080/17498430.2015.1129087, S2CID 126079624
{{citation}}
: CS1 maint: untitled periodical (link) - Hayden, Robert W. (August 2014), "Review", MAA Reviews
- Rosenblad, Andreas (April 2015), International Statistical Review, 83 (1): 165–167, doi:10.1111/insr.12095_6
- ↑ Review of Permutation Statistical Methods: An Integrated Approach:
- Tu, Dongsheng, zbMATH, Zbl 1358.62011
{{citation}}
: CS1 maint: untitled periodical (link)
- Tu, Dongsheng, zbMATH, Zbl 1358.62011
- ↑ Review of A Primer of Permutation Statistical Methods:
- Hayden, Robert W. (October 2019), "Review", MAA Reviews
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