Local Bandwidth Selection for Kernel Estimation of Population Densities with Line Transect Sampling

DOI10.1111/j.0006-341X.1999.00769.xzbMath1059.62650WikidataQ73789821 ScholiaQ73789821MaRDI QIDQ4666643

William R. Schucany, Patrick D. Gerard

Publication date: 13 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

surveydetectabilityecology

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

A new kernel estimator for abundance using line transect sampling without the shoulder condition ⋮ A bias-corrected histogram estimator for line transect sampling ⋮ Robust kernel estimator for densities of unknown smoothness ⋮ FOURTH-ORDER KERNEL METHOD FOR POPULATION DENSITY ESTIMATION

Uses Software

• KernSmooth

Cites Work

• Unnamed Item
• Methodology for nonparametric regression from independent sources
• On Local Smoothing of Nonparametric Curve Estimators
• Approximation Theorems of Mathematical Statistics
• Perpendicular Distance Models for Line Transect Sampling
• A Review of Estimating Animal Abundance II
• A Family of Density Estimators for Line-Transect Sampling
• Studying School Size Effects in Line Transect Sampling Using the Kernel Method
• Empirical-Bias Bandwidths for Local Polynomial Nonparametric Regression and Density Estimation
• A Kernel Estimate for the Density of a Biological Population by Using Line Transect Sampling
• Adaptive Bandwidth Choice for Kernel Regression

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