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Journal of Applied Statistics Volume 47, 2020 - Issue 13-15: Advances in Computational Data Analysis
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V WCDANM 2018: Advances in Computational Data Analysis

Process capability indices in normal distribution with the presence of outliers

M. Jabbari NooghabiDepartment of Statistics, Ferdowsi University of Mashhad, Mashhad, IranCorrespondence[email protected]
[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5636-2209View further author information
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Pages 2443-2478 | Received 01 Aug 2019, Accepted 12 Jul 2020, Published online: 27 Jul 2020

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Hamideh Iranmanesh, Mehdi Jabbari Nooghabi & Abbas Parchami. (2024) Robust yield test for a normal production process. Quality Engineering 36:2, pages 273-286.
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Baocai Guo, Qiming Xia, Yingying Sun & Muhammad Aslam. (2023) Generalized confidence intervals of quantile-based process capability indices for inverse Gaussian distribution. Quality Technology & Quantitative Management 20:3, pages 405-417.
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M. Stehlík, L. M. Grilo & P. K. Jordanova. (2020) Editorial to special issue V WCDANM 2018. Journal of Applied Statistics 47:13-15, pages 2289-2298.
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Articles from other publishers (3)

Weige Tao, Zhigang Sun, Guotao Wang, Shuyan Xiao, Bao Liang, Min Zhang & Shoulai Song. (2024) Broiler sound signal filtering method based on improved wavelet denoising and effective pulse extraction. Computers and Electronics in Agriculture 221, pages 108948.
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Kuen-Suan Chen, Chun-Min Yu, Tsang-Chuan Chang & Hsuan-Yu Chen. (2022) Fuzzy evaluation of product reliability based on ratio-based lifetime performance index. Annals of Operations Research.
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Wanhong Li & Guangzhong Liu. (2021) Dynamic reliability analysis approach based on fault tree and new process capability index. Quality and Reliability Engineering International 38:2, pages 800-816.
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