Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy
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Date
2021
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
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.
Description
Full text article. Also available at https://link.springer.com/article/10.1186/s12874-021-01387-7
Keywords
Repetitive sampling plan, Traditional statistics, COVID-19, Corona virus, Inspection plan, COVID-19 Petient
Citation
Rao, G. S., & Aslam, M. (2021). Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy. BMC Medical Research Methodology, 21, 1-15.