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Density estimation in line transect sampling with grouped data by local least squares
10.1002/env.524.abs
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.
Density estimation in line transect sampling with grouped data by local least squares
10.1002/env.524.abs
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.
Density estimation in line transect sampling with grouped data by local least squares
Barabesi, Lucio (Autor:in) / Greco, Luigi (Autor:in) / Naddeo, Stefania (Autor:in)
Environmetrics ; 13 ; 167-176
01.03.2002
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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