Repetitive sampling inspection plan for cancer patients using exponentiated half-logistic distribution under indeterminacy
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media LLC
Abstract
This piece of work deals with a time truncated sampling scheme for cancer patients using exponentiated half-logistic distribution (EHLD) based on indeterminacy. We have studied time truncated schemes like repetitive acceptance sampling plan (RASP) under indeterminacy. We have estimated the projected scheme parameters such as sample size and acceptance and rejection sample numbers for known indeterminacy parameters. In addition to the projected sampling scheme quantities, the corresponding tables are generated for various values of indeterminacy parameters. The results of a sampling scheme show that the average sample number (ASN) decreases as indeterminacy values increase. It leads that the indeterminacy parameter is played a crucial portrayal in ASN. A comparative study is carried out with existing sampling schemes based on indeterminacy and classical sampling schemes. The evaluated sampling schemes are exemplified with the help of cancer data. From tables and exemplification, we wind up that the projected RSP scheme under indeterminacy desired a smaller sample size than the existing schemes.
Description
Full-text. Available at https://doi.org/10.1038/s41598-023-40445-6
Keywords
Time truncated sampling, Exponentiated half-logistic distribution (EHLD), Indeterminacy, Repetitive acceptance sampling plan (RASP), Average sample number (ASN), Cancer data
Citation
Rao, G. S., & Kirigiti, P. J. (2023). Repetitive sampling inspection plan for cancer patients using exponentiated half-logistic distribution under indeterminacy. Scientific Reports, 13(1), 13743.