关注
Patricia Leone Espinheira Ospina
Patricia Leone Espinheira Ospina
Professora do Departamento de Estatística da Universidade federal de Pernambuco
在 ufpe.br 的电子邮件经过验证
标题
引用次数
引用次数
年份
On beta regression residuals
PL Espinheira, SLP Ferrari, F Cribari-Neto
Journal of Applied Statistics 35 (4), 407-419, 2008
2282008
Influence diagnostics in beta regression
PL Espinheira, SLP Ferrari, F Cribari-Neto
Computational Statistics & Data Analysis 52 (9), 4417-4431, 2008
1332008
FOCA: A methodology for ontology evaluation
J Bandeira, II Bittencourt, P Espinheira, S Isotani
arXiv preprint arXiv:1612.03353, 2016
662016
Diagnostic tools in beta regression with varying dispersion
SLP Ferrari, PL Espinheira, F CribariNeto
Statistica Neerlandica 65 (3), 337-351, 2011
572011
Bootstrap prediction intervals in beta regressions
PL Espinheira, SLP Ferrari, F Cribari-Neto
Computational Statistics 29, 1263-1277, 2014
262014
Model selection criteria on beta regression for machine learning
PL Espinheira, LCM da Silva, AO Silva, R Ospina
Machine Learning and Knowledge Extraction 1 (1), 26, 2019
232019
Residual and influence analysis to a general class of simplex regression
PL Espinheira, A de Oliveira Silva
Test 29 (2), 523-552, 2020
172020
Evaluating the impact of Mars and Venus Effect on the use of an Adaptive Learning Technology for Portuguese and Mathematics
SJ De Santana, R Paiva, II Bittencourt, PE Ospina, RDA Silva, S Isotani
2016 IEEE 16th international conference on advanced learning technologies …, 2016
172016
On nonlinear beta regression residuals
PL Espinheira, EG Santos, F CribariNeto
Biometrical Journal 59 (3), 445-461, 2017
152017
Prediction measures in beta regression models
PL Espinheira, LCM da Silva, AO Silva
arXiv preprint arXiv:1501.04830, 2015
142015
What to do and what to avoid on the use of gamified intelligent tutor system for low-income students
S Joaquim, II Bittencourt, R de Amorim Silva, PL Espinheira, M Reis
Education and Information Technologies 27 (2), 2677-2694, 2022
122022
Bias and variance residuals for machine learning nonlinear simplex regressions
PL Espinheira, LCM Silva, F Cribari-Neto
Expert Systems with Applications 185, 115656, 2021
102021
Modified likelihood ratio tests for unit gamma regressions
AC Guedes, F Cribari-Neto, PL Espinheira
Journal of Applied Statistics 47 (9), 1562-1586, 2020
102020
Beta regression model nonlinear in the parameters with additive measurement errors in variables
D de Brito Trindade, PL Espinheira, KL Pinto Vasconcellos, ...
Plos one 16 (7), e0254103, 2021
42021
Bootstrap-based inferential improvements to the simplex nonlinear regression model
AO Silva, JWA Silva, PL Espinheira
Plos one 17 (8), e0272512, 2022
32022
Bartlett-corrected tests for varying precision beta regressions with application to environmental biometrics
AC Guedes, F Cribari-Neto, PL Espinheira
Plos one 16 (6), e0253349, 2021
32021
Nonlinear Simplex Regression Models
P Espinheira, AO Silva
arXiv preprint arXiv:1805.10843, 2018
12018
Erratum to: Bootstrap prediction intervals in beta regressions
PL Espinheira, SLP Ferrari, F Cribari-Neto
Computational Statistics 32, 1777-1777, 2017
12017
Estatística em Informática na Educação
PE Ospina, R Paiva, D Dermeval, II Bittencourt
Jornada de Atualização em Informática na Educação 4 (1), 95-135, 2015
12015
Unit gamma regression models for correlated bounded data
JVB de Freitas, JS Nobre, PL Espinheira, LC Rêgo
Brazilian Journal of Probability and Statistics 37 (4), 693-719, 2023
2023
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