Future Issues

"The Future Issues" section of the Brazilian Journal of Biometrics presents a list of articles that will be published in our upcoming issues. Here, readers can anticipate and prepare for the articles that will be published soon, keeping up-to-date with the latest advances in biometric research. Stay tuned for article titles and authors, and don't miss the opportunity to delve into cutting-edge knowledge in our research field.

 

Vol 42, n.2

Queiroz de Oliveira et al. Linear mixed-effects models and least confounded residuals in the modelling of Holstein calves’ performance. Brazilian Journal of Biometrics, v.42 (2), xx (2024)

Teixeira et al. Probabilistic Modeling of the Coffee Market in Brazil. Brazilian Journal of Biometrics, v.42 (2), xx (2024)

Rodrigues et al. Bayesian analysis of the growth of pears in the cultivate Shinseiki using non-linear models. Brazilian Journal of Biometrics, v.42 (2), xx (2024)

Barros et al. Classification of sugarcane areas in Landsat images using machine learning algorithms. Brazilian Journal of Biometrics, v.42 (2), xx (2024)

Bueno et al. Analysis of environmental sustainability perception in Paraná Basin III residents via Item Response Theory. Brazilian Journal of Biometrics, v.42 (2), xx (2024)

Silva Lima et al. Abordagem sequencial bayesiana para análise da diversidade genética do peixe piracanjuba (Brycon orbignyanus). Brazilian Journal of Biometrics, v.42 (2), xx (2024)

Teixeira Portela et al. Reliability of repairable systems with Non-Central Gamma frailty. Brazilian Journal of Biometrics, v.42 (2), xx (2024)

Vol 42, n.3

Rodrigues de Sousa et al. Stratified sampling for roots biomass quantification in shifting cultivation in Amazon Brazil. Brazilian Journal of Biometrics, v.42 (3), xx (2024)

Hastuti et al. Analysis of Factors that Correlate with Stunting Using Random Forest Regression and Geographically Weighted Random Forest. Brazilian Journal of Biometrics, v.42 (3), xx (2024)

Awe et al. Improving class probability estimates in asymmetric health data classification: An experimental comparison of novel calibration methods. Brazilian Journal of Biometrics, v.42 (3), xx (2024)

Prataviera et al. Regression models applied to rhizosphere data: A bibliometric review. Brazilian Journal of Biometrics, v.42 (3), xx (2024)

Faccin et al. Bayesian modeling of the Gompertz curve to broiler quail growth data considering different errors. Brazilian Journal of Biometrics, v.42 (3), xx (2024)

Kumari et al. Preliminary Estimators of Population Mean using Ranked Set Sampling in the Presence of Measurement Error and Non-Response Error with Applications and Simulation Study: RSS Estimators in the presence of Errors. Brazilian Journal of Biometrics, v.42 (3), xx (2024)

Batoure Bamana et al. A Comprehensive Statistical Analysis of Malaria Dynamics in the Adamawa Region of Cameroon, from 2018 to 2022. Brazilian Journal of Biometrics, v.42 (3), xx (2024)