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. (Published)
|
Pdf
Kernel Estimation in Line Transect.pdf Download (337kB) | Preview |
Abstract
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
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Transect sampling; Estimation methods; Important procedure |
| Subjects: | Q Science > Q Science (General) T Technology > T Technology (General) |
| Faculty/Division: | Faculty of Industrial Sciences And Technology Center for Mathematical Science Institute of Postgraduate Studies |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 17 Dec 2019 02:21 |
| Last Modified: | 12 Oct 2020 08:07 |
| URI: | http://umpir.ump.edu.my/id/eprint/25684 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |