Multiple Dependent State Repetitive Sampling-Based Control Chart for Birnbaum–Saunders Distribution

Aslam, M; Shafqat, A; Rao, G. S; Malela-Majika, J; Shongwe, S.C

dc.creator	Aslam, M
dc.creator	Shafqat, A
dc.creator	Rao, G. S
dc.creator	Malela-Majika, J
dc.creator	Shongwe, S.C
dc.date	2022-04-21T11:47:35Z
dc.date	2022-04-21T11:47:35Z
dc.date	2020
dc.date.accessioned	2022-10-20T13:09:30Z
dc.date.available	2022-10-20T13:09:30Z
dc.identifier	Aslam, M., Shafqat, A., Rao, G. S., Malela-Majika, J. C., & Shongwe, S. C. (2020). Multiple Dependent State Repetitive Sampling-Based Control Chart for Birnbaum–Saunders Distribution. Journal of Mathematics, 2020.
dc.identifier	DOI:10.1155/2020/8539361
dc.identifier	http://hdl.handle.net/20.500.12661/3526
dc.identifier.uri	http://hdl.handle.net/20.500.12661/3526
dc.description	Full text article. Also available at https://doi.org/10.1155/2020/8539361
dc.description	This paper proposes a new control chart for the Birnbaum–Saunders distribution based on multiple dependent state repetitive sampling (MDSRS). The proposed control chart is a generalization of the control charts based on single sampling, repetitive sampling, and multiple dependent state sampling. Its sensitivity is evaluated in terms of the average run length (ARL) using both exact formulae and simulations. A comprehensive comparison between the Birnbaum–Saunders distribution control chart based on the MDSRS method and other existing competing methods is provided using a simulation study as well as a real-life illustration. The results reveal that the proposed chart outperforms the existing charts considered in this study by having better shift detection ability.
dc.language	en
dc.publisher	Hindawi
dc.subject	Birnbaum–Saunders distribution
dc.subject	Multiple dependent state repetitive sampling
dc.subject	MDSRS
dc.subject	variable control charts
dc.subject	Attribute control charts
dc.title	Multiple Dependent State Repetitive Sampling-Based Control Chart for Birnbaum–Saunders Distribution
dc.type	Article