Parametric inference of generalized process capability index Cpyk for the power Lindley distribution-Reference-Cited by-同舟云学术

Parametric inference of generalized process capability index Cpyk for the power Lindley distribution

Published:2021-12-13 Issue: Volume: Page:1-34
ISSN:1684-3703
Container-title:Quality Technology & Quantitative Management
language:en
Short-container-title:Quality Technology & Quantitative Management

Author:

Kumar Sumit¹,Yadav Abhimanyu Singh²,Dey Sanku³^ORCID,Saha Mahendra⁴

Affiliation:

1. Department of Engineering & Physical Sciences, IAR, Gandhinagar, Gujrat, India

2. Department of Statistics, Banaras Hindu University, Varanasi, India

3. Department of Statistics, St. Anthony’s College, Shillong, India

4. Department of Statistics, Central University of Rajasthan, Ajmer, India

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Information Systems and Management,Management Science and Operations Research,Industrial relations,Business and International Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/16843703.2021.1944966

Reference81 articles.

1. Process capability estimation for non-normal quality charactersitics using Clement, Burr and Box--Cox methods

2. On the generalized process capability under simple and mixture models

3. Chan, L. K., Spiring, F. & Xiao, H. (1988). An OC curve approach for analyzing the process capability index Cpyk. Technical Report, Department of Statistics, University of Manitoba, Canada.

4. A new process capability index for non‐normal distributions

5. An application of non-normal process capability indices

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