| Introdução à inferência estatística H Bolfarine, MC Sandoval SBM, 2001 | 129 | 2001 |
| Diagnostic techniques in generalized estimating equations M Kelly Venezuela, D Aparecida Botter, M Carneiro Sandoval Journal of Statistical Computation and Simulation 77 (10), 879-888, 2007 | 56 | 2007 |
| Egg protein hydrolysates: New culinary textures M Garcés-Rimón, M Sandoval, E Molina, R López-Fandiño, M Miguel International Journal of Gastronomy and Food Science 3, 17-22, 2016 | 54 | 2016 |
| Introduçaoa inferência estatıstica H Bolfarine, MC Sandoval Sociedade Brasileira de Matemática, Rio de Janeiro, 2001 | 52 | 2001 |
| Local influence in estimating equations MK Venezuela, MC Sandoval, DA Botter Computational statistics & data analysis 55 (4), 1867-1883, 2011 | 28 | 2011 |
| Lymphocyte count and prognosis in patients with heart failure M Marçula, MF de Souza Buto, BA Madaloso, RAB Nunes, MAR Cuoco, ... International Journal of Cardiology 188, 60-62, 2015 | 26 | 2015 |
| A regression model for special proportions GHA Pereira, DA Botter, MC Sandoval Statistical Modelling 13 (2), 125-151, 2013 | 23 | 2013 |
| The truncated inflated beta distribution GHA Pereira, DA Botter, MC Sandoval Communications in Statistics-Theory and Methods 41 (5), 907-919, 2012 | 23 | 2012 |
| Adjusted Pearson residuals in beta regression models T Anholeto, MC Sandoval, DA Botter Journal of Statistical Computation and Simulation 84 (5), 999-1014, 2014 | 20 | 2014 |
| On predicting the population total under regression models with measurement errors H Bolfarine, S Zacks, MC Sandoval Journal of statistical planning and inference 55 (1), 63-76, 1996 | 15 | 1996 |
| Costos de construcción G Ortiz, E Paniagua, M Sandoval Cartago, Costa Rica: Tecnológico de Costa Rica, 2009 | 11 | 2009 |
| Linear calibration in functional regression models H Bolfarine, CROP Lima, MC Sandoval Communications in statistics-theory and methods 26 (10), 2307-2328, 1997 | 11 | 1997 |
| On the skew-normal calibration model CC Figueiredo, H Bolfarine, MC Sandoval, C Lima Journal of Applied Statistics 37 (3), 435-451, 2010 | 10 | 2010 |
| Molecular analysis of FVIII gene in severe HA patients of Costa Rica L Salazar-Sánchez, G Jiménez-Cruz, M Mendez, P Chaverri, P Alvarado, ... Hämostaseologie 30 (S 01), S150-S152, 2010 | 10 | 2010 |
| Homoscedastic controlled calibration model BGB Achic, MC Sandoval, OS Yoshida Journal of Chemometrics: A Journal of the Chemometrics Society 21 (3‐4), 145-155, 2007 | 10 | 2007 |
| The Kumaraswamy normal linear regression model with applications GM Cordeiro, EC Machado, DA Botter, MC Sandoval Communications in Statistics-Simulation and Computation 47 (10), 3062-3082, 2018 | 8 | 2018 |
| Heteroscedastic controlled calibration model applied to analytical chemistry B Blas, MC Sandoval Journal of Chemometrics: A Journal of the Chemometrics Society 24 (5), 241-248, 2010 | 8 | 2010 |
| Skewness of maximum likelihood estimators in the varying dispersion beta regression model TM Magalhães, DA Botter, MC Sandoval, GHA Pereira, GM Cordeiro Communications in Statistics-Theory and Methods 48 (17), 4250-4260, 2019 | 7 | 2019 |
| Asymptotic skewness for the beta regression model TM Magalhaes, DA Botter, MC Sandoval Statistics & Probability Letters 83 (10), 2236-2241, 2013 | 7 | 2013 |
| A general expression for second-order covariance matrices—an application to dispersion models TM Magalhães, DA Botter, MC Sandoval | 5 | 2021 |
