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A platform for research: civil engineering, architecture and urbanism
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 (author) / Greco, Luigi (author) / Naddeo, Stefania (author)
Environmetrics ; 13 ; 167-176
2002-03-01
10 pages
Article (Journal)
Electronic Resource
English
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