Future Numbers
"The Future Numbers" 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 41, n.2
Ferreira, J. Sine-skewed von Mises- and Lindley/Gumbel models as candidates for direction and distance in modelling animal movement.Brazilian Journal of Biometrics, v.41 (2), xx (2023)
Oliveira, P. M. S. Profile Analysis And Confunding For Life Quality: Disabled People And Race. Brazilian Journal of Biometrics, v.41 (2), xx (2023)
Lopez et al. Simple models for macro-parasite distributions in hosts. Brazilian Journal of Biometrics, v.41 (2), xx (2023)
Galo et al. Bayesian Binary Regression Using Power And Power Reverse Link Functions: An Application To Premature Birth Data. Brazilian Journal of Biometrics, v.41 (2), xx (2023)
Monteiro Bianchi et al. A Tarso model for studying the level of the Cuiabá river. Brazilian Journal of Biometrics, v.41 (2), xx (2023)
Taconelli, C.A. Improved model fitting approaches under ranked set sampling schemes with application to forest data. Brazilian Journal of Biometrics, v.41 (2), xx (2023)
Wiryono,B. Study On Development Of Independent Rice Mile Unit (Irmu) In Central Lombok District. Brazilian Journal of Biometrics, v.41 (2), xx (2023)
Vol 41, n.3
Peres Araripe et al. Ordinal data and residual analysis: Review and application. Brazilian Journal of Biometrics, v.41 (3), xx (2023).
Alves Santana, R. Analysis of the relationship between tuberculosis notifications with socioeconomic variables via count models counting models. Brazilian Journal of Biometrics, v.41 (3), xx (2023)
Roberta Fernandes et al. Development of a social and professional stress scale for parents of children with autism spectrum disorder. Brazilian Journal of Biometrics, v.41 (3), xx (2023)
Oliveira et al. Spline functions and nonlinear models for modeling the growth of sheep in Northeast Brazil. Brazilian Journal of Biometrics, v.41 (3), xx (2023)
Carmo et al. The Limits Of Conformity Analysis Under The Newcomb-Benford Law And The Covid-19 Pandemic In Brazil. Brazilian Journal of Biometrics, v.41 (3), xx (2023)
Jawad, S. Bifurcation analysis of commensalism intraction and harvisting on food chain model. Brazilian Journal of Biometrics, v.41 (3), xx (2023)
Maestre et al. Analysis of linear mixed models with one quantitative and one ordinal qualitative longitudinal factor. Brazilian Journal of Biometrics, v.41 (3), xx (2023)
Vol 41, n.4
Dias, C.R.G. Performance of Principal Components Estimation Method on the Quality of Factor Analysis without and with Varimax Rotation. Brazilian Journal of Biometrics, v.41 (4), xx (2023)
Roquim et al.Dealing with highly kurtotic count data with excess zeroes: Comparing different treatments in the control of dairy cattle gastrointestinal parasites. Brazilian Journal of Biometrics, v.41 (4), xx (2023)
Batista, B.D.O. Means Grouping based on Studentized Midrange. Brazilian Journal of Biometrics, v.41 (4), xx (2023)
Longford, N.T. Mortality analysed by propensity score matching. Brazilian Journal of Biometrics, v.41 (4), xx (2023)
Almeida Gonzaga et al. Corn plant dry mass accumulation considering the previous crop by non-linear models.Brazilian Journal of Biometrics, v.41 (4), xx (2023)
Mendoça, W.M. & Ramos, P.S. Spatial autocorrelation analysis of multivariate rural insurance data. Brazilian Journal of Biometrics, v.41 (4), xx (2023)
Barroso, C.M. Logistic regression in threshold detection in replicated discrimination sensory tests. Brazilian Journal of Biometrics, v.41 (4), xx (2023)