A semiparametric estimator for animal density in distance sampling is proposed when grouped data are on hand. The estimation technique is based on a kernel-smoothed local least-square criterion function, suitably developed for this setting. The new method presents interesting theoretical properties and it produces accurate and robust estimators, as is shown in a Monte Carlo study. Copyright © 2002 John Wiley & Sons, Ltd.
Barabesi, L., Greco, L., Naddeo, S. (2002). Density estimation in line transect sampling with grouped data by local least squares. ENVIRONMETRICS, 13(2), 167-176 [10.1002/env.524].
Density estimation in line transect sampling with grouped data by local least squares
Barabesi, Lucio;Greco, Luigi;Naddeo, Stefania
2002-01-01
Abstract
A semiparametric estimator for animal density in distance sampling is proposed when grouped data are on hand. The estimation technique is based on a kernel-smoothed local least-square criterion function, suitably developed for this setting. The new method presents interesting theoretical properties and it produces accurate and robust estimators, as is shown in a Monte Carlo study. Copyright © 2002 John Wiley & Sons, Ltd.
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https://hdl.handle.net/11365/8895
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