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Mengenal Data Ekstrim dan Distribusinya

Bisono, Indriati Njoto (2011) Mengenal Data Ekstrim dan Distribusinya. Jurnal Teknik Industri, 13 (2). pp. 81-86. ISSN 1411-2485

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    Abstract

    People adopt many definitions for extremes. One such definition is that extremes are simply the upper tail data. In this paper we briefly review the types of upper tail data, the limiting distribution of extreme values, the analysis and the model diagnostics. We also provide a simple example of fitting generalized extreme values (GEV) for climate extremes.

    Item Type: Article
    Uncontrolled Keywords: Extreme value, generalized extreme value distribution, generalized pareto distribution, return level.
    Subjects: T Technology > TS Manufactures
    Divisions: Faculty of Industrial Technology > Industrial Engineering Department
    Depositing User: Admin
    Date Deposited: 13 Jul 2012 21:16
    Last Modified: 05 Sep 2012 16:47
    URI: http://repository.petra.ac.id/id/eprint/15848

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