| Beta regression for modelling rates and proportions S Ferrari, F Cribari-Neto Journal of applied statistics 31 (7), 799-815, 2004 | 3550 | 2004 |
| Beta Regression in R A Zeileis, F Cribari-Neto, B Grün Journal of Statistical Software 34 (i02), 2010 | 2695* | 2010 |
| Asymptotic inference under heteroskedasticity of unknown form F Cribari-Neto Computational Statistics & Data Analysis 45 (2), 215-233, 2004 | 435 | 2004 |
| On beta regression residuals PL Espinheira, SLP Ferrari, F Cribari-Neto Journal of applied statistics 35 (4), 407-419, 2008 | 237 | 2008 |
| A generalization of the exponential-Poisson distribution W Barreto-Souza, F Cribari-Neto Statistics & Probability Letters 79 (24), 2493-2500, 2009 | 201 | 2009 |
| Improved statistical inference for the two-parameter Birnbaum-Saunders distribution AJ Lemonte, F Cribari-Neto, KLP Vasconcellos Computational statistics & data analysis 51 (9), 4656-4681, 2007 | 151 | 2007 |
| Beta autoregressive moving average models AV Rocha, F Cribari-Neto Test 18 (3), 529-545, 2009 | 142 | 2009 |
| Bootstrap methods for heteroskedastic regression models: evidence on estimation and testing F Cribari-Neto, SG Zarkos Econometric Reviews 18 (2), 211-228, 1999 | 138 | 1999 |
| On bartlett and bartlett-type corrections francisco cribari-neto F Cribari-Neto, GM Cordeiro Econometric reviews 15 (4), 339-367, 1996 | 138 | 1996 |
| Improved point and interval estimation for a beta regression model R Ospina, F Cribari-Neto, KLP Vasconcellos Computational Statistics & Data Analysis 51 (2), 960-981, 2006 | 137 | 2006 |
| Influence diagnostics in beta regression PL Espinheira, SLP Ferrari, F Cribari-Neto Computational Statistics & Data Analysis 52 (9), 4417-4431, 2008 | 134 | 2008 |
| Explaining DEA technical efficiency scores in an outlier corrected environment: the case of public services in Brazilian municipalities MDCS De Sousa, F Cribari-Neto, BD Stosic Brazilian Review of Econometrics 25 (2), 287-313, 2005 | 110 | 2005 |
| An introduction to Bartlett correction and bias reduction GM Cordeiro, F Cribari-Neto Springer, 2014 | 108 | 2014 |
| R: yet another econometric programming environment F Cribari‐Neto, SG Zarkos Journal of Applied Econometrics 14 (3), 319-329, 1999 | 108 | 1999 |
| A new heteroskedasticity-consistent covariance matrix estimator for the linear regression model F Cribari-Neto, WB da Silva AStA Advances in Statistical Analysis, 1-18, 2011 | 107 | 2011 |
| Inference under heteroskedasticity and leveraged data F Cribari-Neto, TC Souza, KLP Vasconcellos Communications in Statistics—Theory and Methods 36 (10), 1877-1888, 2007 | 105 | 2007 |
| Package ‘betareg’ A Zeileis, F Cribari-Neto, B Gruen, I Kosmidis, AB Simas, AV Rocha, ... R package 3 (2), 2016 | 99 | 2016 |
| Nearly unbiased maximum likelihood estimation for the beta distribution F Cribari-Neto, KLP Vasconcellos Journal of Statistical Computation and Simulation 72 (2), 107-118, 2002 | 93 | 2002 |
| Improved heteroscedasticity‐consistent covariance matrix estimators F Cribari‐Neto, SLP Ferrari, GM Cordeiro Biometrika 87 (4), 907-918, 2000 | 76 | 2000 |
| Model selection criteria in beta regression with varying dispersion FM Bayer, F Cribari-Neto Communications in Statistics-Simulation and Computation 46 (1), 729-746, 2017 | 71 | 2017 |
Silvia FerrariProfessor of Statistics, Department of Statistics, University of Sao Pauloime.usp.br üzerinde doğrulanmış e-posta adresine sahip