File:Fitting-a-curve-on-a-log-log-plot.webm
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Size of this JPG preview of this WEBM file: 800 × 450 pixels. Other resolutions: 320 × 180 pixels | 640 × 360 pixels | 1,024 × 576 pixels | 1,280 × 720 pixels | 1,920 × 1,080 pixels.
Original file (WebM audio/video file, VP8/Vorbis, length 16 min 55 s, 1,920 × 1,080 pixels, 569 kbps overall, file size: 68.86 MB)
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Summary
| Description |
English: We discuss various norms on function spaces and how to transform them to a distance measure in order to fit a zipf plot on a word rank frequency plot. Finally we introduce a simiplified version of the Kolmogorov Smirnov test.
This video is the third unit of the second lesson of part two of the Web science MOOC held at the university of Koblenz. Part two covers emerging Web properties |
| Date | |
| Source | Own work |
| Author | Renepick |
Licensing
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 22:31, 30 November 2016 | 16 min 55 s, 1,920 × 1,080 (68.86 MB) | Renepick | User created page with UploadWizard |
File usage
The following 8 pages use this file:
- Web Science
- Web Science/Part2: Emerging Web Properties
- Web Science/Part2: Emerging Web Properties/Advanced statistical descriptive models for the Web
- Web Science/Part2: Emerging Web Properties/Advanced statistical descriptive models for the Web/Fitting a curve on a log log plot
- Web Science/Part2: Emerging Web Properties/Advanced statistical descriptive models for the Web/Visually straight lines on log log plots
- Web Science/Part2: Emerging Web Properties/Advanced statistical descriptive models for the Web/Zipf law powerlaw or pareto law.webm
- Web Science/Part2: Emerging Web Properties/How big is the World Wide Web
- Category:Web Science/Part2: Emerging Web Properties