Performance of parametric model for line transect data
One of the most important sides of life is wildlife. There is growing research interest in monitoring wildlife. Line transect sampling is one of the techniques widely used for estimating the density of objects especially for animals and plants. In this study, we have developed a parametric estimator...
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| Format: | Article |
| Language: | English |
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Akademi Sains Malaysia
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/24104/ http://umpir.ump.edu.my/id/eprint/24104/13/Performance%20of%20parametric%20model%20for%20line%20transect%20data.pdf |
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| author | Saeed, Gamil Abdulraqeb Abdullah Noryanti, Muhammad Wan Nur Syahidah, Wan Yusoff |
| author_facet | Saeed, Gamil Abdulraqeb Abdullah Noryanti, Muhammad Wan Nur Syahidah, Wan Yusoff |
| author_sort | Saeed, Gamil Abdulraqeb Abdullah |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | One of the most important sides of life is wildlife. There is growing research interest in monitoring wildlife. Line transect sampling is one of the techniques widely used for estimating the density of objects especially for animals and plants. In this study, we have developed a parametric estimator f (0 ) for estimation of the population abundance. A new parametric model for perpendicular distances for detection function g ( z ) is utilized to develop the estimator f (0 ) . Moreover, we present the performance of the parametric model which was developed using simulation study. The detection function has nonincreasing curve and a perfect probability at zero. Theoretically, the parametric model that has been developed is guaranteed to satisfy the shoulder condition assumption. A simulation study is presented to validate the present model. Relative mean error (RME) is used to compare the estimator with well-known existing estimators. The results of the simulation study are discussed and the performance of the proposed model showed good statistical properties which out-performed the existing models. |
| first_indexed | 2025-11-15T02:33:31Z |
| format | Article |
| id | ump-24104 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:33:31Z |
| publishDate | 2020 |
| publisher | Akademi Sains Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-241042020-10-12T07:52:32Z http://umpir.ump.edu.my/id/eprint/24104/ Performance of parametric model for line transect data Saeed, Gamil Abdulraqeb Abdullah Noryanti, Muhammad Wan Nur Syahidah, Wan Yusoff QA Mathematics One of the most important sides of life is wildlife. There is growing research interest in monitoring wildlife. Line transect sampling is one of the techniques widely used for estimating the density of objects especially for animals and plants. In this study, we have developed a parametric estimator f (0 ) for estimation of the population abundance. A new parametric model for perpendicular distances for detection function g ( z ) is utilized to develop the estimator f (0 ) . Moreover, we present the performance of the parametric model which was developed using simulation study. The detection function has nonincreasing curve and a perfect probability at zero. Theoretically, the parametric model that has been developed is guaranteed to satisfy the shoulder condition assumption. A simulation study is presented to validate the present model. Relative mean error (RME) is used to compare the estimator with well-known existing estimators. The results of the simulation study are discussed and the performance of the proposed model showed good statistical properties which out-performed the existing models. Akademi Sains Malaysia 2020 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24104/13/Performance%20of%20parametric%20model%20for%20line%20transect%20data.pdf Saeed, Gamil Abdulraqeb Abdullah and Noryanti, Muhammad and Wan Nur Syahidah, Wan Yusoff (2020) Performance of parametric model for line transect data. ASM Science Journal, 13 (Special 4). pp. 1-7. ISSN 1823-6782. (Published) https://doi.org/10.32802/asmscj.2020.sm26(1.18) |
| spellingShingle | QA Mathematics Saeed, Gamil Abdulraqeb Abdullah Noryanti, Muhammad Wan Nur Syahidah, Wan Yusoff Performance of parametric model for line transect data |
| title | Performance of parametric model for line transect data |
| title_full | Performance of parametric model for line transect data |
| title_fullStr | Performance of parametric model for line transect data |
| title_full_unstemmed | Performance of parametric model for line transect data |
| title_short | Performance of parametric model for line transect data |
| title_sort | performance of parametric model for line transect data |
| topic | QA Mathematics |
| url | http://umpir.ump.edu.my/id/eprint/24104/ http://umpir.ump.edu.my/id/eprint/24104/ http://umpir.ump.edu.my/id/eprint/24104/13/Performance%20of%20parametric%20model%20for%20line%20transect%20data.pdf |