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)
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ABSTRACT 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. |
| 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 |
| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| 658 JIPE 35:4 (2018) | 03-18-743428456 | TERSEDIA |
| Ulasan: |
| Tidak ada ulasan pada koleksi ini: 20479580 |
