CUSUM Monitoring of First-Order Integer-Valued Autoregressive Processes of Poisson Counts
By Christian H. Weiβ, Murat Caner Testik. 2009
97 citations recorded by the source corpus.
Subfields: Medical Laboratory Technology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/acfd0dee14ef7580ef285a3dae65af767c5a1de7
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In Medical Laboratory Technology
In Statistics and Probability
- Christian H. Weiβ
- Murat Caner Testik
- A. Ryan
- William H. Woodall
- Claudia Kirch
- Joseph Tadjuidje Kamgaing
- Jürgen Franke
- Changliang Zou
Citations in the corpus
- Control Charts for Poisson Count Data with Varying Sample Sizes (2010, methodology): “The generalized-likelihood ratio (GLR) CUSUM method proposed by Yashchin (1989), Hawkins and Olwell(1998), and Mei et al.”
- Changepoints in times series of counts (2012, background): “For integer-valued time series, Weiß and Testik [31] have investigated CUSUM charts for detecting changes in integervalued autoregressions (INAR) from a practical point of view.”
- Detecting mean increases in Poisson INAR(1) processes with EWMA control charts (2011, methodology): “Therefore, Section 3 presents a one-sided EWMA chart, a three-parametric special case of the combined EWMA chart of Weiß [26], as an alternative approach to the one-sided CUSUM chart of Weiß and Testik [27].”
- The Poisson INAR(1) CUSUM chart under overdispersion and estimation error (2011, methodology): “Weiß and Testik (2009) showed that the bivariate process (N1, C1), (N2, C2), . . . forms a bivariate Markov chain.”