| Censored regression models with autoregressive errors: A likelihood‐based perspective FL Schumacher, VH Lachos, DK Dey Canadian Journal of Statistics 45 (4), 375-392, 2017 | 17 | 2017 |
| Scale mixture of skew‐normal linear mixed models with within‐subject serial dependence FL Schumacher, VH Lachos, LA Matos Statistics in medicine 40 (7), 1790-1810, 2021 | 14 | 2021 |
| A robust nonlinear mixed-effects model for COVID-19 deaths data FL Schumacher, CS Ferreira, MO Prates, A Lachos, VH Lachos Statistics and Its Interface 14 (1), 49 – 57, 2021 | 12 | 2021 |
| Approximate inferences for nonlinear mixed effects models with scale mixtures of skew-normal distributions FL Schumacher, DK Dey, VH Lachos Journal of Statistical Theory and Practice 15 (3), 60, 2021 | 11 | 2021 |
| skewlmm: Scale mixtures of skew-normal linear mixed models FL Schumacher, LA Matos, VH Lachos URL: https://CRAN. R-project. org/package= skewlmm. r package version 0.2. 0, 2020 | 6 | 2020 |
| ARCensReg: Fitting univariate censored linear regression model with autoregressive errors F Schumacher, V Lachos, C Galarza R package version 2, 2016 | 5* | 2016 |
| Effect of scan powder and scanning technology on measured deviations of complete-arch implant supported frameworks digitized with industrial and intraoral scanners MB Donmez, G Çakmak, DÖ Dede, AS Küçükekenci, WE Lu, ... Journal of dentistry 138, 104736, 2023 | 3 | 2023 |
| Comparison of intraoral and laboratory scanners to an industrial-grade scanner while analyzing the fabrication trueness of polymer and titanium complete-arch implant-supported … B Yilmaz, DÖ Dede, MB Donmez, AS Küçükekenci, WE Lu, ... Journal of dentistry 138, 104697, 2023 | 2 | 2023 |
| Censored autoregressive regression models with Student‐t innovations KAL Valeriano, FL Schumacher, CE Galarza, LA Matos Canadian Journal of Statistics, 2021 | 1 | 2021 |
| Canonical fundamental skew-t linear mixed models FL Schumacher, LA Matos, CRB Cabral arXiv preprint arXiv:2109.12152, 2021 | 1 | 2021 |
| Influence diagnostics for censored regression models with autoregressive errors FL Schumacher, VH Lachos, FE Vilca‐Labra, LM Castro Australian & New Zealand Journal of Statistics 60 (2), 209-229, 2018 | 1 | 2018 |
| MODELOS ESTRUTURAIS EM SÉRIES TEMPORAIS COM APLICAÇÃO EM DADOS DE INTERNAÇÃO POR BRONQUIOLITE (pp. 188-199) FL Schumacher, EM de Souza, E Gimenes, TT Uchimura, ... Revista da Estatística da Universidade Federal de Ouro Preto 3 (2), 2014 | 1 | 2014 |
| The Impact of Technology Teaching in the Dental Predoctoral Curriculum on Students’ Perception of Digital Dentistry LM Nassani, S Bencharit, F Schumacher, WE Lu, R Resende, ... Dentistry Journal 12 (3), 75, 2024 | | 2024 |
| A Censored Time Series Analysis for Responses on the Unit Interval: An Application to Acid Rain Modeling FL Schumacher, LA Matos, VH Lachos, CA Abanto-Valle, LM Castro Sankhya A, 1-24, 2024 | | 2024 |
| Front-of-package label in Brazil: Comparison of guideline daily amounts, traffic-light and warning systems SG Lima, FL Schumacher, CBB Cazarin Food and Humanity 1, 199-209, 2023 | | 2023 |
| Exploring the Attitudes of Women Dental Students Regarding Becoming Oral and Maxillofacial Surgeons KH Conley, C Jatana, F Schumacher, WE Lu, A Moffitt Journal of Oral and Maxillofacial Surgery 81 (9), S30, 2023 | | 2023 |
| The use of the EM algorithm for regularization problems in high-dimensional linear mixed-effects models DCR Oliveira, FL Schumacher, VH Lachos arXiv preprint arXiv:2308.01518, 2023 | | 2023 |
| Robust linear mixed models for longitudinal data using skewed and heavy-tailed distributions= Modelos lineares mistos robustos para dados longitudinais usando distribuições … FL Schumacher [sn], 2021 | | 2021 |
| Censored regression models with autoregressive errors= Modelos de regressão censurados com erros autorregressivos FL Schumacher [sn], 2016 | | 2016 |
| Harmonic Analysis of Multipath Index Time Series in GPS Stations E Souza, DBM Alves, FL Schumacher TEMA (São Carlos) 16, 71-78, 2015 | | 2015 |
Victor Hugo Lachos DavilaProfessor at University of ConnecticutVerified email at uconn.edu
