Unraveling water monitoring association towards weather attributes for response proportions data: a unit-Lindley learning (2022)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1371/journal.pone.0275841
- Subjects: UMIDADE ATMOSFÉRICA; ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO; SAZONALIDADE; CHILE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco
- Date published: 2022
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
FERREIRA, Paulo Henrique et al. Unraveling water monitoring association towards weather attributes for response proportions data: a unit-Lindley learning. PLOS ONE, v. 17, n. 10, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0275841. Acesso em: 18 abr. 2024. -
APA
Ferreira, P. H., Fonseca, A. O., Nascimento, D. C. do, Bonnail, E., & Louzada, F. (2022). Unraveling water monitoring association towards weather attributes for response proportions data: a unit-Lindley learning. PLOS ONE, 17( 10), 1-18. doi:10.1371/journal.pone.0275841 -
NLM
Ferreira PH, Fonseca AO, Nascimento DC do, Bonnail E, Louzada F. Unraveling water monitoring association towards weather attributes for response proportions data: a unit-Lindley learning [Internet]. PLOS ONE. 2022 ; 17( 10): 1-18.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1371/journal.pone.0275841 -
Vancouver
Ferreira PH, Fonseca AO, Nascimento DC do, Bonnail E, Louzada F. Unraveling water monitoring association towards weather attributes for response proportions data: a unit-Lindley learning [Internet]. PLOS ONE. 2022 ; 17( 10): 1-18.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1371/journal.pone.0275841 - Cooperative parallel particle filters for online model selection and applications to urban mobility
- On the hypothesis testing for the weighted Lindley distribution
- Bayesian model averaging: a systematic review and conceptual classification
- Classification methods applied to credit scoring: systematic review and overall comparison
- Issues in the multiple try metropolis mixing
- Two new defective distributions based on the Marshall–Olkin extension
- Adaptive population importance samplers: a general perspective
- Effective sample size for importance sampling based on discrepancy measures
- Wilcoxon test for transformation on soundscape: a feature extraction task
- The Poisson-Weibull regression model
Informações sobre o DOI: 10.1371/journal.pone.0275841 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | 3112389.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
