Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy

BACKGROUND: This research work is elaborated investigation of COVID-19 data for Weibull distribution under indeterminacy using time truncated repetitive sampling plan. The proposed design parameters like sample size, acceptance sample number and rejection sample number are obtained for known indeter...

Descripción completa

Detalles Bibliográficos
Autores principales: Rao, G. Srinivasa, Aslam, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543115/
https://www.ncbi.nlm.nih.gov/pubmed/34696713
http://dx.doi.org/10.1186/s12874-021-01387-7
_version_ 1784589574075318272
author Rao, G. Srinivasa
Aslam, Muhammad
author_facet Rao, G. Srinivasa
Aslam, Muhammad
author_sort Rao, G. Srinivasa
collection PubMed
description BACKGROUND: This research work is elaborated investigation of COVID-19 data for Weibull distribution under indeterminacy using time truncated repetitive sampling plan. The proposed design parameters like sample size, acceptance sample number and rejection sample number are obtained for known indeterminacy parameter. METHODS: The plan parameters and corresponding tables are developed for specified indeterminacy parametric values. The conclusion from the outcome of the proposed design is that when indeterminacy values increase the average sample number (ASN) reduces. RESULTS: The proposed repetitive sampling plan methodology application is given using COVID-19 data belong to Italy. The efficiency of the proposed sampling plan is compared with the existing sampling plans. CONCLUSIONS: Using the tables and COVID-19 data illustration, it is concluded that the proposed plan required a smaller sample size as examined with the available sampling plans in the literature.
format Online
Article
Text
id pubmed-8543115
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-85431152021-10-25 Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy Rao, G. Srinivasa Aslam, Muhammad BMC Med Res Methodol Research BACKGROUND: This research work is elaborated investigation of COVID-19 data for Weibull distribution under indeterminacy using time truncated repetitive sampling plan. The proposed design parameters like sample size, acceptance sample number and rejection sample number are obtained for known indeterminacy parameter. METHODS: The plan parameters and corresponding tables are developed for specified indeterminacy parametric values. The conclusion from the outcome of the proposed design is that when indeterminacy values increase the average sample number (ASN) reduces. RESULTS: The proposed repetitive sampling plan methodology application is given using COVID-19 data belong to Italy. The efficiency of the proposed sampling plan is compared with the existing sampling plans. CONCLUSIONS: Using the tables and COVID-19 data illustration, it is concluded that the proposed plan required a smaller sample size as examined with the available sampling plans in the literature. BioMed Central 2021-10-25 /pmc/articles/PMC8543115/ /pubmed/34696713 http://dx.doi.org/10.1186/s12874-021-01387-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Rao, G. Srinivasa
Aslam, Muhammad
Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy
title Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy
title_full Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy
title_fullStr Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy
title_full_unstemmed Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy
title_short Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy
title_sort inspection plan for covid-19 patients for weibull distribution using repetitive sampling under indeterminacy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543115/
https://www.ncbi.nlm.nih.gov/pubmed/34696713
http://dx.doi.org/10.1186/s12874-021-01387-7
work_keys_str_mv AT raogsrinivasa inspectionplanforcovid19patientsforweibulldistributionusingrepetitivesamplingunderindeterminacy
AT aslammuhammad inspectionplanforcovid19patientsforweibulldistributionusingrepetitivesamplingunderindeterminacy

Ejemplares similares