On Improving Kernel Estimators Using Line Transect Sampling

DOI10.1081/STA-200054439zbMath1067.62035MaRDI QIDQ4681057

Omar Mohammad Eidous

Publication date: 14 June 2005

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

zbMATH Keywords

tableskernel methodshoulder conditionhalf-normal modelline transect methodnegative exponential modelcorrection bias

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 (8)

Asymptotic Unbiased Kernel Estimator for Line Transect Sampling ⋮ Uniformly most powerful unbiased test for shoulder condition in point transect sampling ⋮ A bias-corrected histogram estimator for line transect sampling ⋮ FOURTH-ORDER KERNEL METHOD FOR POPULATION DENSITY ESTIMATION ⋮ The uniformly most powerful invariant test for two models of detection function in point transect sampling ⋮ Histogram Model with Plausible Parametric Detection Function for Line Transect Data ⋮ Kernel Method Starting with Half-Normal Detection Function for Line Transect Density Estimation ⋮ A Semiparametric Model for Line Transect Sampling

Cites Work

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• Radial-Distance Models for the Line-Transect Method
• Perpendicular Distance Models for Line Transect Sampling
• Mathematical Models for Nonparametric Inferences from Line Transect Data
• A Family of Density Estimators for Line-Transect Sampling
• Nonparametric Estimators for Variable Circular Plot Surveys
• GENERALIZED LIKELIHOOD RATIO TEST FOR THE SHOULDER CONDITION IN LINE TRANSECT SAMPLING
• Kernel Methods in Line and Point Transect Sampling
• A Kernel Estimate for the Density of a Biological Population by Using Line Transect Sampling
• Fitting Density Functions with Polynomials

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