Kernel estimation in transect sampling for parametric model
Line transect sampling is a common method used in ecology to sampling the sample required. It is an important procedure for estimating the population density of objects in interested study area. There are mainly two ways to estimate the population density which a parametric and nonparametric estimat...
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Akademi Sains Malaysia
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ump-256842019-12-17T02:21:17Z http://umpir.ump.edu.my/id/eprint/25684/ Kernel estimation in transect sampling for parametric model Saeed, Gamil Abdulraqeb Abdullah Noryanti, Muhammad Wan Nur Syahidah, Wan Yusoff Q Science (General) T Technology (General) Line transect sampling is a common method used in ecology to sampling the sample required. It is an important procedure for estimating the population density of objects in interested study area. There are mainly two ways to estimate the population density which a parametric and nonparametric estimation methods. In this paper, we present kernel estimation method to estimate new estimator of the propose population density. Kernel estimation method is used due to avoid the assumption about the shape of the unknown detectable functions. We investigate the performance of the new estimator using simulation study and compared with the existing estimators. Based on the simulation study, the results show that the proposed estimator preforms better than other well-known estimators Akademi Sains Malaysia 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25684/13/Kernel%20Estimation%20in%20Line%20Transect.pdf Saeed, Gamil Abdulraqeb Abdullah and Noryanti, Muhammad and Wan Nur Syahidah, Wan Yusoff (2019) Kernel estimation in transect sampling for parametric model. ASM Science Journal, 12 (S. I. 5). pp. 137-142. ISSN 1823-6782 https://www.akademisains.gov.my/asmsj/article/kernel-estimation-in-line-transect-sampling-for-parametric-model/ |
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Q Science (General) T Technology (General) |
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Q Science (General) T Technology (General) Saeed, Gamil Abdulraqeb Abdullah Noryanti, Muhammad Wan Nur Syahidah, Wan Yusoff Kernel estimation in transect sampling for parametric model |
description |
Line transect sampling is a common method used in ecology to sampling the sample required. It is an important procedure for estimating the population density of objects in interested study area. There are mainly two ways to estimate the population density which a parametric and nonparametric estimation methods. In this paper, we present kernel estimation method to estimate new estimator of the propose population density. Kernel estimation method is used due to avoid the assumption about the shape of the unknown detectable functions. We investigate the performance of the new estimator using simulation study and compared with the existing estimators. Based on the simulation study, the results show that the proposed estimator preforms better than other well-known estimators |
format |
Article |
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 |
title |
Kernel estimation in transect sampling for parametric model |
title_short |
Kernel estimation in transect sampling for parametric model |
title_full |
Kernel estimation in transect sampling for parametric model |
title_fullStr |
Kernel estimation in transect sampling for parametric model |
title_full_unstemmed |
Kernel estimation in transect sampling for parametric model |
title_sort |
kernel estimation in transect sampling for parametric model |
publisher |
Akademi Sains Malaysia |
publishDate |
2019 |
url |
http://umpir.ump.edu.my/id/eprint/25684/ http://umpir.ump.edu.my/id/eprint/25684/ http://umpir.ump.edu.my/id/eprint/25684/13/Kernel%20Estimation%20in%20Line%20Transect.pdf |
first_indexed |
2023-09-18T22:39:35Z |
last_indexed |
2023-09-18T22:39:35Z |
_version_ |
1777416824885870592 |