# A weighted exponential detection function model for line transect data

Faisal Ababneh*, Omar M. Eidous

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

## 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.

Original language English 144-151 8 Journal of Modern Applied Statistical Methods 11 1 https://doi.org/10.22237/jmasm/1335845400 Published - 2012 Yes

## Keywords

• Exponential model
• Half-normal model
• Line transect sampling
• Weighted exponential model

## ASJC Scopus subject areas

• Statistics and Probability
• Statistics, Probability and Uncertainty

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