Statistical Summary Features
Statistical Summary Features is a type of time series feature extraction method that characterizes the distributional properties of a time series through aggregate statistical measures such as mean, variance, skewness, and kurtosis, distinguishing it from other methods by summarizing the overall temporal behavior in a reduced-dimensional numerical form.
109
Publications
8.4K
Citations
316
Authors
144
Institutions
Publications per year
2017–2026
38
109
Violin Plots: A Box Plot-Density Trace Synergism
Jerry L. Hintze, Ray D. Nelson · The American Statistician · 1998 · 1.6K citations
Violin Plots: A Box Plot-Density Trace Synergism
Jerry L. Hintze, Ray D. Nelson · The American Statistician · 1998 · 444 citations
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University of California, Berkeley
Berkeley, United States
6 h-index
19 publications
1.6K citations
University of California, Davis
Davis, United States
3 h-index
7 publications
1.5K citations

Western University
London, Canada
3 h-index
8 publications
98 citations
Yale University
New Haven, United States
2 h-index
3 publications
299 citations

Anna University, Chennai
Chennai, India
2 h-index
5 publications
534 citations

University of London
London, United Kingdom
2 h-index
2 publications
40 citations
Duke University
Durham, United States
2 h-index
3 publications
83 citations
University of Pittsburgh
Pittsburgh, United States
2 h-index
4 publications
797 citations
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7 publications · 391 citations
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5 publications · 709 citations
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4 publications · 494 citations
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Repository · 3 publications · 100 citations
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3 publications · 94 citations
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