A note on the Fourier series model for analysing line transect data.

S. T. Buckland

doi:10.2307/2530461

A note on the Fourier series model for analysing line transect data.

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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
Pages (from-to)	469-477
Number of pages	9
Journal	Biometrics
Volume	38
Issue number	2
DOIs	https://doi.org/10.2307/2530461
Publication status	Published - 1 Jan 1982

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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",

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A note on the Fourier series model for analysing line transect data.

Abstract

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