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.
Ababneh, Faisal and Eidous, Omar M.
"A Weighted Exponential Detection Function Model for Line Transect Data,"
Journal of Modern Applied Statistical Methods: Vol. 11
, Article 11.
Available at: http://digitalcommons.wayne.edu/jmasm/vol11/iss1/11