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A new kernel estimator for abundance using line transect sampling without the shoulder condition

✍ Scribed by Omar M. Eidous

Book ID
113720475
Publisher
Elsevier
Year
2012
Tongue
English
Weight
289 KB
Volume
41
Category
Article
ISSN
1226-3192

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Improvements on the kernel estimation in
Improvements on the kernel estimation in line transect sampling without the shoulder condition
✍ Shunpu Zhang πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 100 KB

Mack et al. (Comm. Statist. A 28 (1999) 2277) proposed to use the boundary kernel method to estimate the wildlife population density from the line transect data when the detection function does not satisfy the shoulder condition, the ΓΏrst derivative of the detection function at distance zero is 0.