Author(s):
1. Baker Albadareen:
Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
2. Noriszura Ismail:
Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
Abstract:
In this paper, a general base of power transformation under the kernel method is suggested and applied in the line transect sampling to estimate abundance. The suggested estimator performs well at the
boundary compared to the classical kernel estimator wit hout using th
e shoulder condition assumption . The transformed estimator show
smaller value of mean squared error and absolute bias from the efficiency results obtained using simulation
.
Page(s):
279-285
Published:
Journal: Pakistan Journal of Statistics and Operation Research, Volume: 16, Issue: 2, Year: 2020
Keywords:
bandwidth
,
abundance
,
powertransformation
,
kernel estimator
,
line transect
,
shoulder condition
References:
References are not available for this document.
Citations
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