Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy.
BMC Med Res Methodol
; 21(1): 229, 2021 10 25.
Article
in English
| MEDLINE | ID: covidwho-1484301
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.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
COVID-19
Type of study:
Prognostic study
Limits:
Humans
Country/Region as subject:
Europa
Language:
English
Journal:
BMC Med Res Methodol
Journal subject:
Medicine
Year:
2021
Document Type:
Article
Affiliation country:
S12874-021-01387-7
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