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Pengaruh outlier pada spesifikasi model data berkala


iers are commonplace in data analysis. Time series analysis is no exception.

une series data are often subject to uncontrolled or ...

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    01001100700314519.5 Abi pPerpustakaan Pusat (REF.14.9)Tersedia namun tidak untuk dipinjamkan - No Loan
  • Perpustakaan
    Judul Seri
    -
    No. Panggil
    519.5 Abi p/R.14.9
    Penerbit Magister Statistika Terapan, : Bandung.,
    Deskripsi Fisik
    vii,;31 hlm,;29 ,3 cm
    Bahasa
    Indonesia
    ISBN/ISSN
    -
    Klasifikasi
    519.5
    Tipe Isi
    -
    Tipe Media
    -
    Tipe Pembawa
    -
    Edisi
    -
    Subyek
    Info Detil Spesifik
    -
    Pernyataan Tanggungjawab
  • iers are commonplace in data analysis. Time series analysis is no exception.

    une series data are often subject to uncontrolled or unexpected intervention, from
    ich various type of outlying observations are produced. Outliers in time series
    .'del:lCDding on their nature, may have a moderat to significant effect on the
    ectiveness of the standard time series methodology. Two special cases are studied
    this article, they are Innovative Outlier (l0) and Additive Outlier (AO). An
    ive procedure is proposed to identify the outlier to remove their effect and to
    ify a tentative model for underlying process, as is described by Chang and Tiao

    983). The concept of this procedure is applied to the data of volume rate of The
    ikapundung River at Pos Ouga Gandok .
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