A pliant parametric detection model for line transect data sampling

DOI10.1080/03610926.2021.1872640OpenAlexW3122910356MaRDI QIDQ5039781

Christophe Chesneau, Hassan S. Bakouch, Rawda I. Abdullah

Publication date: 4 October 2022

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

Full work available at URL: https://doi.org/10.1080/03610926.2021.1872640

zbMATH Keywords

maximum likelihood estimatorline transect samplingnew two-parameter detection model (NDM)perpendicular distancesshoulder conditions

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Distance sampling: methods and applications
• Density estimation for grouped data with application to line transect sampling
• Power Lindley distribution and associated inference
• Perpendicular Distance Models for Line Transect Sampling
• Nonparametric Estimation of Population Density for Line Transect Sampling Using FOURIER Series
• Mathematical Models for Nonparametric Inferences from Line Transect Data
• A Family of Density Estimators for Line-Transect Sampling
• Bayesian Estimation of Animal Abundance for Line Transect Sampling
• GENERALIZED LIKELIHOOD RATIO TEST FOR THE SHOULDER CONDITION IN LINE TRANSECT SAMPLING
• A Generalization of the Gamma Distribution

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