VARIANCE PREDICTION FOR POPULATION SIZE ESTIMATION

Autor:	Ana Isabel Gomez, Marcos Cruz, Luis Manuel Cruz-Orive
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	Cavalieri error variance predictor geometric sampling Monte Carlo resampling particle counting population size Split error variance predictor systematic quadrats Medicine (General) R5-920 Mathematics QA1-939
Zdroj:	Image Analysis and Stereology, Vol 38, Iss 2, Pp 131-139 (2019)
Druh dokumentu:	article
ISSN:	1580-3139 1854-5165
DOI:	10.5566/ias.1991
Popis:	Design unbiased estimation of population size by stereological methods is an efficient alternative to automatic computer vision methods, which are generally biased. Moreover, stereological methods offer the possibility of predicting the error variance from a single sample. Here we explore the statistical performance of two alternative variance estimators on a dataset of 26 labelled crowd pictures. The empirical mean square errors of the variance predictors are compared by means of Monte Carlo resampling.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/ebe24e13c24b4b3da79799595974a295 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF