Testing average traffic fatality using sampling plan for exponentiated half logistic distribution under indeterminacy
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 indeterminac...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-07-01
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| Series: | Scientific African |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468227623001035 |
| _version_ | 1797802171900624896 |
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| author | Gadde Srinivasa Rao Peter Josephat Kirigiti |
| author_facet | Gadde Srinivasa Rao Peter Josephat Kirigiti |
| author_sort | Gadde Srinivasa Rao |
| collection | DOAJ |
| description | 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 distribution. 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 fatality 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. |
| first_indexed | 2024-03-13T05:01:43Z |
| format | Article |
| id | doaj.art-5d377e6890ba422aaa77e90393c32031 |
| institution | Directory Open Access Journal |
| issn | 2468-2276 |
| language | English |
| last_indexed | 2024-03-13T05:01:43Z |
| publishDate | 2023-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Scientific African |
| spelling | doaj.art-5d377e6890ba422aaa77e90393c320312023-06-17T05:19:49ZengElsevierScientific African2468-22762023-07-0120e01646Testing average traffic fatality using sampling plan for exponentiated half logistic distribution under indeterminacyGadde Srinivasa Rao0Peter Josephat Kirigiti1Corresponding author.; Department of Mathematics and Statistics, CNMS, University of Dodoma, Dodoma, TanzaniaDepartment of Mathematics and Statistics, CNMS, University of Dodoma, Dodoma, TanzaniaA 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 distribution. 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 fatality 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.http://www.sciencedirect.com/science/article/pii/S2468227623001035Classical sampling plansIndeterminacyTraffic fatalityAverage traffic fatalitySample sizeExponentiated half logistic distribution |
| spellingShingle | Gadde Srinivasa Rao Peter Josephat Kirigiti Testing average traffic fatality using sampling plan for exponentiated half logistic distribution under indeterminacy Scientific African Classical sampling plans Indeterminacy Traffic fatality Average traffic fatality Sample size Exponentiated half logistic distribution |
| title | Testing average traffic fatality using sampling plan for exponentiated half logistic distribution under indeterminacy |
| title_full | Testing average traffic fatality using sampling plan for exponentiated half logistic distribution under indeterminacy |
| title_fullStr | Testing average traffic fatality using sampling plan for exponentiated half logistic distribution under indeterminacy |
| title_full_unstemmed | Testing average traffic fatality using sampling plan for exponentiated half logistic distribution under indeterminacy |
| title_short | Testing average traffic fatality using sampling plan for exponentiated half logistic distribution under indeterminacy |
| title_sort | testing average traffic fatality using sampling plan for exponentiated half logistic distribution under indeterminacy |
| topic | Classical sampling plans Indeterminacy Traffic fatality Average traffic fatality Sample size Exponentiated half logistic distribution |
| url | http://www.sciencedirect.com/science/article/pii/S2468227623001035 |
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