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Nancy E. Heckman is a Canadian statistician, interested in nonparametric regression, smoothing, functional data analysis, and applications of statistics in evolutionary biology. From 2008 to 2018, she served as head of the statistics department at the University of British Columbia. Heckman earned her PhD in 1982 from the University of Michigan. Her dissertation, supervised by Michael B. Woodroofe, was Two Treatment Comparison with Random Allocation Rule.

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  • Nancy E. Heckman (en)
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  • Nancy E. Heckman is a Canadian statistician, interested in nonparametric regression, smoothing, functional data analysis, and applications of statistics in evolutionary biology. From 2008 to 2018, she served as head of the statistics department at the University of British Columbia. Heckman earned her PhD in 1982 from the University of Michigan. Her dissertation, supervised by Michael B. Woodroofe, was Two Treatment Comparison with Random Allocation Rule. (en)
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  • Nancy E. Heckman is a Canadian statistician, interested in nonparametric regression, smoothing, functional data analysis, and applications of statistics in evolutionary biology. From 2008 to 2018, she served as head of the statistics department at the University of British Columbia. Heckman earned her PhD in 1982 from the University of Michigan. Her dissertation, supervised by Michael B. Woodroofe, was Two Treatment Comparison with Random Allocation Rule. Heckman's publications won the Canadian Journal of Statistics Award twice, in 1998 and 2001. She is a fellow of the American Statistical Association and Institute of Mathematical Statistics, and an elected member of the International Statistical Institute. (en)
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