Austrian Journal of Statistics | |
Double Kernel Method Using Line Transect Sampling | |
article | |
Omar Eidous1  M.K. Shakhatreh1  | |
[1] Department of Statistics, Yarmouk University | |
关键词: Line Transect Sampling; Kernel Methods; Boundary Effect; Reflection Method.; | |
DOI : 10.17713/ajs.v41i2.177 | |
学科分类:医学(综合) | |
来源: Austrian Statistical Society | |
【 摘 要 】
A double kernel method as an alternative to the classical kernel method is proposed to estimate the population abundance by using line transect sampling. The proposed method produces an estimator that is essentially a kernel type of estimator use the kernel estimator twice to improve the performances of the classical kernel estimator. The feasibility of using bootstrap techniques to estimate the bias and variance of the proposed estimator is also addressed. Some numerical examples based on simulated and real data are presented. The results show that the proposed estimator outperforms existingclassical kernel estimator in most considered cases.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO202105240000199ZK.pdf | 78KB | download |