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Kernel Estimation in Line 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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Main Authors: Saeed, Gamil Abdulraqeb Abdullah, Noryanti, Muhammad, Wan Nur Syahidah, Wan Yusoff
Format: Article
Language:English
Published: Akademi Sains Malaysia 2019
Subjects:
Q Science (General)
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/25684/13/Kernel%20Estimation%20in%20Line%20Transect.pdf
http://umpir.ump.edu.my/id/eprint/25684/
https://www.akademisainhttps://www.akademisains.gov.my/asmsj/asm-sc-j-vol-12-special-issue-5-2019-for-icoaims2019/
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spelling my.ump.umpir.256842020-10-12T08:07:51Z http://umpir.ump.edu.my/id/eprint/25684/ Kernel Estimation in Line 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 Line Transect Sampling for Parametric Model. ASM Science Journal, 12 (Special 5). pp. 137-142. ISSN 1823-6782 https://www.akademisainhttps://www.akademisains.gov.my/asmsj/asm-sc-j-vol-12-special-issue-5-2019-for-icoaims2019/
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic Q Science (General)
T Technology (General)
spellingShingle Q Science (General)
T Technology (General)
Saeed, Gamil Abdulraqeb Abdullah
Noryanti, Muhammad
Wan Nur Syahidah, Wan Yusoff
Kernel Estimation in Line 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 Line Transect Sampling for Parametric Model
title_short Kernel Estimation in Line Transect Sampling for Parametric Model
title_full Kernel Estimation in Line Transect Sampling for Parametric Model
title_fullStr Kernel Estimation in Line Transect Sampling for Parametric Model
title_full_unstemmed Kernel Estimation in Line Transect Sampling for Parametric Model
title_sort kernel estimation in line transect sampling for parametric model
publisher Akademi Sains Malaysia
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/25684/13/Kernel%20Estimation%20in%20Line%20Transect.pdf
http://umpir.ump.edu.my/id/eprint/25684/
https://www.akademisainhttps://www.akademisains.gov.my/asmsj/asm-sc-j-vol-12-special-issue-5-2019-for-icoaims2019/
_version_ 1681489626974388224
score 13.211869

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