Improvements on the kernel estimation in line transect sampling without the shoulder condi\-tion

DOI10.1016/S0167-7152(01)00013-XzbMath1092.62523WikidataQ127436420 ScholiaQ127436420MaRDI QIDQ5952091

Shunpu Zhang

Publication date: 2001

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

End point kernelKernel density estimationOptimal bandwidth

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Asymptotic Unbiased Kernel Estimator for Line Transect Sampling ⋮ A new kernel estimator for abundance using line transect sampling without the shoulder condition ⋮ Some improvements on a boundary corrected kernel density estimator

Cites Work

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• On kernel density estimation near endpoints
• Progress in data-based bandwidth selection for kernel density estimation
• Incorporating support constraints into nonparametric estimators of densities
• Perpendicular Distance Models for Line Transect Sampling
• Nonparametric Estimation of Population Density for Line Transect Sampling Using FOURIER Series
• Transformations in Density Estimation
• Nonparametric Estimators for Variable Circular Plot Surveys
• An Improved Estimator of the Density Function at the Boundary
• Kernel Methods in Line and Point Transect Sampling
• Fitting Density Functions with Polynomials
• Kernel estimation in transect sampiing withoyt the shoulder condition

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