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BMC Medical Research Methodology
Published in: BMC Medical Research Methodology 1/2021

Open Access 01-12-2021 | COVID-19 | Research

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

Authors: G. Srinivasa Rao, Muhammad Aslam

Published in: BMC Medical Research Methodology | Issue 1/2021

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Abstract

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.
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Metadata
Title
Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy
Authors
G. Srinivasa Rao
Muhammad Aslam
Publication date
01-12-2021
Publisher
BioMed Central
Keyword
COVID-19
Published in
BMC Medical Research Methodology / Issue 1/2021
Electronic ISSN: 1471-2288
DOI
https://doi.org/10.1186/s12874-021-01387-7

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