Testing average traffic fatality using sampling plan for exponentiated half logistic distribution under indeterminacy
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Date
2023
Authors
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Journal ISSN
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Publisher
Elsevier
Abstract
A time-truncated sampling plan for the exponentiated half logistic distribution under the indeterminacy is developed in the present investigation. The proposed design parameters are ascertained by fixing the indeterminacy parameter with the known shape parameter. For different values of indeterminacy parameters at known shape values, the parameters of the proposed plan are determined. The results show that the indeterminacy parameter influences the sample size of the proposed design for exponentiated half-logistic distribu- tion. The results clearly indicate that while indeterminacy parameters increase, the sample size reduces. The relevance of the designed plan is established using data set on traffic fa- tality on roads in the United States. From the traffic fatality illustration, it is resolved that the proposed plan is helpful to test the aggregate traffic fatality at more modest values of sample size as analogized to the available classical sampling plan.
Description
Full text Article. Also available at https://www.sciencedirect.com/science/article/pii/S2468227623001035
Keywords
Traffic fatality, Classical sampling plans, Exponentiated half logistic distribution, Highway traffic management, Road accident, Road fatality, Highway traffic fatality, Traffic management
Citation
Rao, G. S., & Kirigiti, P. J. (2023). Testing average traffic fatality using sampling plan for exponentiated half logistic distribution under indeterminacy. Scientific African, 20,