Abstract
The Fourier series model offers a powerful procedure for the estimation of animal population density from line transect data. The estimate is reliable over a wide range of detection functions. In contrast analytic confidence intervals yield, at best, 90% confidence for nominal 95% intervals. Three solutions, one using Monte Carlo techniques, another making direct use of replicate lines and the third based on the jackknife method, are compared. -Author
Original language | English |
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Pages (from-to) | 469-477 |
Number of pages | 9 |
Journal | Biometrics |
Volume | 38 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Jan 1982 |