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James O. Ramsay (born 5 September 1942) is a Canadian statistician and Professor Emeritus at McGill University, Montreal, who developed much of the statistical theory behind multidimensional scaling (MDS). Together with co-author Bernard Silverman, he is widely recognized as the founder of functional data analysis. He wrote four influential books and over 100 peer-reviewed articles in statistical and psychometric journals.

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  • James O. Ramsay (born 5 September 1942) is a Canadian statistician and Professor Emeritus at McGill University, Montreal, who developed much of the statistical theory behind multidimensional scaling (MDS). Together with co-author Bernard Silverman, he is widely recognized as the founder of functional data analysis. He wrote four influential books and over 100 peer-reviewed articles in statistical and psychometric journals. In 1998, the Statistical Society of Canada (SSC) awarded him a gold medal for research in 1998. In 2012 the SCS awarded him with an honorary membership. He was president of the Psychometric Society in 1981–1982 and president of the SSC in 2002–2003. Over his career, "three of his papers were read to the Royal Statistical Society, and another won The Canadian Journal of Statistics 2000 Best Paper Award." In retirement, as of 2010, he continued to hold adjunct appointments at Department of Chemical Engineering, Queen's University and the Department of Mathematics and Statistics, University of Ottawa. (en)
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  • 1942-09-05 (xsd:date)
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  • Stephen M. Hunka (en)
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  • 1942-09-05 (xsd:date)
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  • Prince George, British Columbia, Canada (en)
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  • James O. Ramsay (born 5 September 1942) is a Canadian statistician and Professor Emeritus at McGill University, Montreal, who developed much of the statistical theory behind multidimensional scaling (MDS). Together with co-author Bernard Silverman, he is widely recognized as the founder of functional data analysis. He wrote four influential books and over 100 peer-reviewed articles in statistical and psychometric journals. (en)
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  • James O. Ramsay (en)
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