"Type/Token-Token" Informetrics: Some Comments and Further Examples.

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Title: "Type/Token-Token" Informetrics: Some Comments and Further Examples.
Authors: Burrell, Quentin L.1 q.burrell@ibs.ac.im
Source: Journal of the American Society for Information Science & Technology. Nov2003, Vol. 54 Issue 13, p1260-1263. 4p.
Subjects: Information science, Distribution (Probability theory)
Abstract: Shows how L. Egghe's notion of Type/Token-Taken (T/T-T) informetrics relates to ones that are already well known in informetrics and resolve some of the specific problems posed. Overview of the T/T-T model; Pareto distribution; Bradford distribution; Negative binomial distribution.
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 11299449
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PubType: Academic Journal
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  Data: "Type/Token-Token" Informetrics: Some Comments and Further Examples.
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  Data: Shows how L. Egghe's notion of Type/Token-Taken (T/T-T) informetrics relates to ones that are already well known in informetrics and resolve some of the specific problems posed. Overview of the T/T-T model; Pareto distribution; Bradford distribution; Negative binomial distribution.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=11299449
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        Value: 10.1002/asi.10324
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      – Code: eng
        Text: English
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        PageCount: 4
        StartPage: 1260
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      – SubjectFull: Information science
        Type: general
      – SubjectFull: Distribution (Probability theory)
        Type: general
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      – TitleFull: "Type/Token-Token" Informetrics: Some Comments and Further Examples.
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              Text: Nov2003
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