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 |
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Pages (from-to) | 144-151 |
Number of pages | 8 |
Journal | Journal of Modern Applied Statistical Methods |
Volume | 11 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Keywords
- Exponential model
- Half-normal model
- Line transect sampling
- Weighted exponential model
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty