Quantifying Wildlife Abundance: Negative Rayleigh Modeling of Line Transect Data

Autor:	Abdullah M. Almarashi
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Rayleigh distribution line transect sampling shoulder condition Mathematics QA1-939
Zdroj:	Mathematics, Vol 12, Iss 17, p 2706 (2024)
Druh dokumentu:	article
ISSN:	2227-7390
DOI:	10.3390/math12172706
Popis:	This study introduces a negative Rayleigh detection model for estimating population abundance in line transect surveys. The model satisfies key detection conditions and provides a detailed analysis of its probability density function, moments, and other essential characteristics. Parameters are estimated using three methods: moment estimator, maximum likelihood estimator, and Bayesian estimator. The model’s performance is evaluated through simulations, comparing its estimators to those from established models. An empirical application using perpendicular distance data further assesses the model, with goodness-of-fit statistics demonstrating its advantages over traditional methods.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/4b935440d47240a191f37033aedd189f Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.