An Adaptation of Kernel Density Estimation for Population Abundance using Line Transect Sampling When the Shoulder Condition is Violated
2019 ◽
Vol 9
(2)
◽
pp. 3494-3498
Keyword(s):
Kernel estimation is a commonly used method to estimate the population density in line transect sampling. In general, the classical kernel estimator of (0) X f , which is the probability density function at perpendicular distance x 0 , inclines to be underestimated. In this study, a power transformation of perpendicular distance is proposed for the kernel estimator when the shoulder condition is violated. The mathematical properties of the proposed estimator are derived. A simulation study is also carried out for comparing the proposed estimator with the classical kernel estimators
2012 ◽
Vol 41
(2)
◽
pp. 267-275
◽
Keyword(s):
2001 ◽
Vol 53
(3)
◽
pp. 249-258
◽
Keyword(s):
2018 ◽
Vol 39
(7)
◽
pp. 1449-1462
Keyword(s):
2009 ◽
Vol 18
(1)
◽
pp. 79-92
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Keyword(s):
2001 ◽
Vol 30
(11)
◽
pp. 2343-2354
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2004 ◽
Vol 3
(1)
◽
pp. 149-157