Kernel Method Starting with Half-Normal Detection Function for Line Transect Density Estimation

DOI10.1080/03610920802549894zbMath1170.62029OpenAlexW1978509140MaRDI QIDQ3396344

Omar Mohammad Eidous

Publication date: 18 September 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920802549894

zbMATH Keywords

tableskernel methodpopulation biologyhalf-normal modelline transect method

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)

Related Items (3)

Asymptotic Unbiased Kernel Estimator for Line Transect Sampling ⋮ A bias-corrected histogram estimator for line transect sampling ⋮ FOURTH-ORDER KERNEL METHOD FOR POPULATION DENSITY ESTIMATION

Cites Work

• A Semiparametric Model for Line Transect Sampling
• Radial-Distance Models for the Line-Transect Method
• Perpendicular Distance Models for Line Transect Sampling
• Parametric models for line transect surveys
• Mathematical Models for Nonparametric Inferences from Line Transect Data
• A Family of Density Estimators for Line-Transect Sampling
• BIAS-CORRECTED CONFIDENCE INTERVALS FOR WILDLIFE ABUNDANCE ESTIMATION
• Kernel Methods in Line and Point Transect Sampling
• On Improving Kernel Estimators Using Line Transect Sampling
• A Kernel Estimate for the Density of a Biological Population by Using Line Transect Sampling
• Fitting Density Functions with Polynomials
• A Nonparametric Estimate of a Multivariate Density Function

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