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Annals of Data Science

A Novel G Family for Single Acceptance Sampling Plan with Application in Quality and Risk Decisions

  • 20-10-2022
Published in:
Authors
Basma Ahmed
M. Masoom Ali
Haitham M. Yousof
Published in
Annals of Data Science | Issue 1/2024

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Abstract

The article presents a novel G family of probability distributions called the generated geometric Weibull family, which combines the geometric and Weibull distributions. This new family is introduced to provide more flexibility in modeling real-life data sets. The article also discusses the application of this new family in quality control, particularly in acceptance sampling plans. It provides a detailed methodology for using the generated geometric Weibull family in single acceptance sampling plans, which is a crucial aspect of quality control in manufacturing. The article includes mathematical properties, moments, entropies, and moments of the residual life of the new distribution family. Additionally, it presents a case study to illustrate the practical application of the proposed sampling plan. The results show that the new family can effectively be used in quality control, making it a valuable resource for professionals in the field.
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Title
A Novel G Family for Single Acceptance Sampling Plan with Application in Quality and Risk Decisions
Authors
Basma Ahmed
M. Masoom Ali
Haitham M. Yousof
Publication date
20-10-2022
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 1/2024
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-022-00451-3
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