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Original Articles

On the generalized process capability under simple and mixture models

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Pages 832-852 | Received 25 Apr 2013, Accepted 14 Oct 2013, Published online: 11 Nov 2013

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Read on this site (13)

Mahendra Saha & Sanku Dey. (2023) Uses of a new asymmetric loss-based process capability index in the electronic industries. Communications in Statistics: Case Studies, Data Analysis and Applications 9:2, pages 135-151.
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Shun Matsuura. (2023) Bayes estimator of process capability index C with a specified prior mean. Communications in Statistics - Theory and Methods 52:7, pages 2215-2227.
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Sanku Dey, Mahendra Saha & Sumit Kumar. (2022) Parametric Confidence Intervals of S for Generalized Exponential Distribution. American Journal of Mathematical and Management Sciences 41:3, pages 201-222.
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Sumit Kumar, Abhimanyu Singh Yadav, Sanku Dey & Mahendra Saha. (2022) Parametric inference of generalized process capability index C for the power Lindley distribution. Quality Technology & Quantitative Management 19:2, pages 153-186.
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Sanku Dey, Chunfang Zhang & Mahendra Saha. (2021) Classical and Bayesian estimation of the index C and its confidence intervals for normally distributed quality characteristic. Journal of Statistical Computation and Simulation 91:10, pages 1911-1934.
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M. Jabbari Nooghabi. (2020) Process capability indices in normal distribution with the presence of outliers. Journal of Applied Statistics 47:13-15, pages 2443-2478.
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Muhammad Riaz & Tayyiba Hamid. (2016) On the performance of different capability indices under normal and non-normal distributions. Journal of the Chinese Institute of Engineers 39:8, pages 889-899.
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Chung-Ho Chen & Chao-Chin Kan. (2015) Tolerance design based on specified process capability value. International Journal of Management Science and Engineering Management 10:3, pages 210-214.
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Wen Lea Pearn, Chin Chieh Wu & Chia Huang Wu. (2015) Estimating process capability index C: classical approach versus Bayesian approach. Journal of Statistical Computation and Simulation 85:10, pages 2007-2021.
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Mou-Yuan Liao. (2015) Assessing process incapability when collecting data from multiple batches. International Journal of Production Research 53:7, pages 2041-2054.
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Víctor Leiva, Carolina Marchant, Helton Saulo, Muhammad Aslam & Fernando Rojas. (2014) Capability indices for Birnbaum–Saunders processes applied to electronic and food industries. Journal of Applied Statistics 41:9, pages 1881-1902.
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Chung-Ho Chen, Chao-Yu Chou, Chao-Chin Kan & Michael B. C. Khoo. (2014) Production quantity and specification limits settings by considering specified process capability value. Journal of Industrial and Production Engineering 31:4, pages 229-237.
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Kuntal Bera & M. Z. Anis. Estimation of C for autocorrelated data in the presence of random measurement errors. Communications in Statistics - Simulation and Computation 0:0, pages 1-28.
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Articles from other publishers (14)

Mahendra Saha & Sanku Dey. (2023) Estimation and confidence intervals of a new loss based process capability index $${\mathcal {C}}^{\prime }_{pm}$$ with applications. International Journal of System Assurance Engineering and Management 14:5, pages 1827-1840.
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Tahira Kanwal & Kamran Abbas. (2023) Bootstrap confidence intervals of process capability indices Spmk, Spmkc and Cs for Frechet distribution. Quality and Reliability Engineering International.
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Sanku Dey, Mahendra Saha, M. Z. Anis, Sudhansu S. Maiti & Sumit Kumar. (2023) Estimation and confidence intervals of $$C_{Np}(u,v)$$ for logistic-exponential distribution with application. International Journal of System Assurance Engineering and Management 14:S1, pages 431-446.
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Emmanuel Afuecheta, Mujahida Sayyed, Idika E. Okorie & Saralees Nadarajah. (2023) A compound exponential distribution with application to control charts. Journal of Computational and Applied Mathematics 417, pages 114598.
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S. A. Wani & S. A. Dar. (2022) A new generalized transmuted distribution. Journal of Applied Mathematics, Statistics and Informatics 18:2, pages 77-101.
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Sanku Dey, Mahendra Saha, Shen Zhang & Min Wang. (2021) Classical and objective Bayesian estimation and confidence intervals of an asymmetric loss based capability index Cpmk′$\mathcal {C}^{\prime }_{pmk}$. Quality and Reliability Engineering International 38:4, pages 1659-1686.
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Mahendra Saha, Sanku Dey & Liang Wang. (2021) Parametric inference of the loss based index Cpm for normal distribution. Quality and Reliability Engineering International 38:1, pages 405-431.
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Mahendra Saha, Sanku Dey, Abhimanyu Singh Yadav & Sajid Ali. (2021) Confidence intervals of the index $C_{pk}$ for normally distributed quality characteristics using classical and Bayesian methods of estimation. Brazilian Journal of Probability and Statistics 35:1.
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Mohammed Mohammed Ahmed Almazah, Faisal Ali Mohammed Ali, Majdy Mohamed Eltayeb & Abdu Atta. (2021) Comparative Analysis Four Different Ways of Calculating Yield Index SSS pk Based on Information of Control Chart, and Six Sigma, to Measuring the Process Performance in Industries: Case Study in Aden’s Oil Refinery, Yemen . IEEE Access 9, pages 134005-134021.
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Rashad M. EL-Sagheer & Mustafa M. Hasaballah. (2020) Inference of Process Capability Index for 3-Burr-XII Distribution Based on Progressive Type-II Censoring . International Journal of Mathematics and Mathematical Sciences 2020, pages 1-13.
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Mahendra Saha, Sanku Dey, Abhimanyu Singh Yadav & Sumit Kumar. (2019) Classical and Bayesian inference of C p y for generalized Lindley distributed quality characteristic . Quality and Reliability Engineering International 35:8, pages 2593-2611.
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Pedro Carlos Oprime, Fabiane Leticia Lizarelli, Marcio Lopes Pimenta & Jorge Alberto Achcar. (2019) Acceptance X-bar chart considering the sample distribution of capability indices, C ˆ p and C ˆ p k. International Journal of Quality & Reliability Management 36:6, pages 875-894.
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Pedro Carlos Oprime & Glauco Henrique de Sousa Mendes. (2017) The X -bar control chart with restriction of the capability indices . International Journal of Quality & Reliability Management 34:1, pages 38-52.
Crossref
Faisal Ali & Amran Ahmed. A review on the statistical concepts of six sigma. A review on the statistical concepts of six sigma.

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