Cargando…
Modeling stream fish distributions using interval‐censored detection times
Controlling for imperfect detection is important for developing species distribution models (SDMs). Occupancy‐detection models based on the time needed to detect a species can be used to address this problem, but this is hindered when times to detection are not known precisely. Here, we extend the t...
Autores principales: | Ferreira, Mário, Filipe, Ana Filipa, Bardos, David C., Magalhães, Maria Filomena, Beja, Pedro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4984523/ https://www.ncbi.nlm.nih.gov/pubmed/27551402 http://dx.doi.org/10.1002/ece3.2295 |
Ejemplares similares
-
CTIVA: Censored time interval variable analysis
por: Kim, Insoo, et al.
Publicado: (2023) -
The statistical analysis of interval-censored failure time data
por: Sun, Jianguo
Publicado: (2006) -
Interval-Censored Time-to-Event Data: Methods and Applications
por: Chen, Ding-Geng
Publicado: (2012) -
Bayesian estimation for Dagum distribution based on progressive type I interval censoring
por: Alotaibi, Refah, et al.
Publicado: (2021) -
Assessing the accuracy of predictive models with interval-censored
data
por: Wu, Ying, et al.
Publicado: (2020)