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95:, time series, statistical modeling, visual perception, environmental science, and seasonal adjustment." Cleveland is credited with defining and naming the field of
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80:. Eventually he moved to the Purdue University, where he became Professor of Statistics and Courtesy Professor of Computer Science. In 1982 he was elected as a
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Armitage, Peter, Geoffrey Berry, and John NS Matthews. Statistical methods in medical research. John Wiley & Sons, 2008.
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Cleveland, William S., Eric Grosse, and
William M. Shyu. "Local regression models." Statistical models in S (1992): 309–376.
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29:(born 1943) is an American computer scientist and Professor of Statistics and Professor of Computer Science at
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Cleveland obtained his AB in
Mathematics mid 1960s from Princeton University, where he graduated under
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Graphical perception: Theory, experimentation, and application to the development of graphical methods
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William S. Cleveland, Shanti S. Gupta
Professor of Statistics, Courtesy Professor of Computer Science
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His research interests are in the fields of "data visualization, computer networking,
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Berry, Kenneth J.; Johnston, Janis E.; Jr, Paul W. Mielke (2014-04-11).
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A Chronicle of
Permutation Statistical Methods: 1920–2000, and Beyond
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Robust locally weighted regression and smoothing scatterplots
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Monterey, CA: Wadsworth
Advanced Books and Software, 1985.
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45:. He is remembered as one of the developers of the
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285:"The Challenge of Big Data and Data Science"
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178:Venables, William N., and Brian D. Ripley.
134:Cleveland, William S., and Robert McGill. "
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224:, at stat.purdue.edu. Accessed 10-04-2015.
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68:After graduation Cleveland started at
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16:American data-visualization expert
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180:Modern applied statistics with S.
283:Brady, Henry E. (2019-05-11).
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110:The elements of graphing data.
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349:Mathematics Genealogy Project
235:"William Swain Cleveland, II"
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271:William S. Cleveland: Bio
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39:nonparametric regression
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127:Cleveland, William S. "
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108:Cleveland, William S.
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103:Selected publications
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