A Weighted Exponential Detection Function Model for Line Transect Data
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May 1, 2012
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Faisal Ababneh
Al-Hussian Bin Talal University, Ma’an, Jordan
Omar M. Eidous
Yarmouk University, Irbid, Jordan
Abstract
A new parametric model is proposed for modeling the density function of perpendicular distances in line transects sampling. The model can be considered a weighted exponential model in the sense that it combines two exponential models with different weights. The proposed model is appealing because it is monotone decreasing with distance from transect line; in contrast to the classical exponential model, it satisfies the shoulder condition at the origin. Simulation results for a wide range of target densities show reasonable and good performances of the weighted exponential model in most considered cases compared to the classical exponential and the half-normal models.
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