Artikel Jurnal :: Kembali

Artikel Jurnal :: Kembali

Joint monitoring of mean and dispersion of count data / Runhui Wang, Jian Li, Lian Xue

Runhui Wang; Jian Li; Lian Xue (Taylor and Francis, 2018)


Count data are often described by the Poisson distribution, which requires identical mean and variance, namely equi dispersion. However, in practical situations, count data usually exhibit either over dispersion with variance larger than mean, or under dispersion with variance smaller than mean. Therefore, traditional approaches that focus on only mean shifts, such as the c chart, cannot monitor count data with over/under dispersion efficiently.To monitor mean and dispersion of count data simultaneously, this paper adopts Conway MaxwelI Poisson (COMPoisson) distributions to ht count data with over/under dispersion, and constructs a control chart based on the likelihood ratio test. The proposed chart is powerful in detecting both mean and dispersion shifts of count data with either over dispersion or under dispersion. Numerical simulations have demonstrated its performance in various cases.


Jenis Koleksi : Artikel Jurnal
No. Panggil : 658 JIPE 35:4 (2018)
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Philadelphia: Taylor and Francis, 2018
Sumber Pengatalogan : LibUI eng rda
ISSN : 21681015
Majalah/Jurnal : Journal of Industrial and Production Engineering
Volume : Vol. 35, No. 4, June 2018: Hal. 269-276
Tipe Konten : text
Tipe Media : unmediated
Tipe Carrier : volume
Akses Elektronik :
Institusi Pemilik : Universitas Indonesia
Lokasi : Perpustakaan UI, Lantai 4, R. Koleksi Jurnal
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No. Panggil No. Barkod Ketersediaan
658 JIPE 35:4 (2018) 03-18-743428456 TERSEDIA
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