Amputated life-testing based on extended Dagum percentiles for type of group inspection plans: optimal sample sizes, termination time ratios analysis.

Basma Ahmed, G G Hamedani, Getachew Tekle Mekiso, Yusra A Tashkandy, M E Bakr, Eslam Hussam, Haitham M Yousof

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Basma AhmedDepartment of Information System, Higher Institute for Specific Studies, Giza, Egypt.

G G HamedaniDepartment of Mathematical and Statistical Sciences, Marquette University, Milwaukee, USA.

Getachew Tekle MekisoDepartment of Statistics, College of Natural and Computational Science, Wachemo University, Hossana, Ethiopia. getachewtekle@wcu.edu.et.

Yusra A TashkandyDepartment of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, 11451, Riyadh, Saudi Arabia.

M E BakrDepartment of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, 11451, Riyadh, Saudi Arabia.

Eslam HussamDepartment of Mathematics, Faculty of Science, Helwan University, Cairo, Egypt.

Haitham M YousofDepartment of Statistics, Mathematics and Insurance, Benha University, Benha, 13511, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces a novel approach to life-testing using Extended Dagum (EXD) percentiles within the framework of group inspection plans. The methodology focuses on optimizing sample sizes and analyzing termination time ratios to enhance the reliability of quality control procedures. By leveraging the flexibility of the EXD distribution, the proposed approach accurately models complex survival data, accommodating heavy-tailed characteristics often encountered in practice. The study presents a detailed analysis of optimal sample sizes and the critical termination time ratios that balance producer and consumer risks. Through comprehensive simulations and real applications, the paper demonstrates the effectiveness of the proposed methodology in ensuring robust and efficient life-testing strategies, offering valuable insights for practitioners in industries such as manufacturing, engineering, and reliability analysis.

Indexed as

Amputated testingAverage group numberAverage sample numberExtended Dagum distributionMultiple group sampling inspection plans with three and four stepsOperating characteristic functionProducer’s risk

Identifiers

PMID39406915

DOI10.1038/s41598-024-74897-1

PMCPMC11480367

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.