BetaRegressionBiblio.pdf
© 2013, Timothy G. Gregoire, Yale University
http://environment.yale.edu/profile/gregoire /BetaRegressionBiblio.pdf
Last revised: 19 December 2013
Beta Regression Bibliography
33 Entries
1. Dyke, G. V. and Patterson, H. D. (1952) Analysis of factorial arrangement when the
data are proportions. Biometrics 8(1) 1-12.
2. Brehm, J. and Gates, S. (1993) Donut shops and speed traps: evaluating models of
supervision on police behavior. American Journal of Political Science 37(2) 555-581.
3. Cox, C. (1996) Nonlinear quasi-likelihood models: applications to continuous proportions. Computational Statistics & Data Analysis 21: 449-461.
4. Papke, L. E., and Wooldridge, J. M. (1996) Econometric methods for fractional response variables with an application to 401(K) plan participation rates. Journal of
Applied Econometrics 11: 619-632.
5. Paolino, P. (2001) Maximum likelihood estimation of models with beta-distributed
dependent variables. Political Analysis 9(4) 325-346.
6. Cribari-Neto, F. and Vasconclellos, K. L. P. (2002) Nearly unbiased maximum
likelihood estimation for the beta distribution. Journal of Statistical Computation and
Simulation. 72(2) 1107-118.
7. Li, F., Zhang, L., and Davis, C. J. (2002) Modeling the joint distribution of tree
diameters and heights by bivariate generalized beta distribution. Forest Science 48(1)
47-58.
8. Kieschnick, R. and McCullough, B. D. (2003) Regression analysis of variates
observed on (0,1): percentages, proportions and fractions. Statistical Modelling 3:
193-213.
9. Ferrari, S. L. P., Cribari-Neto, F. (2004) Beta regression for modeling rates and
proportions. Journal of Applied Statistics 31(7) 799-815.
10. Ospina, R., Cribari-Neto, F., and Vasconcellos, K. L. P. (2006) Improved point and
interval estimation for a beta regression model. Computational Statistics & Data
Analyisis 51: 960-981.
11. Smithson, M. and Verkuilen, J. (2006) A better lemon squeezer? Maximumlikelihood regression with beta-distributed dependent variables. Psychological
Methods 11(1) 54-71.
12. Korhonen, L., Korhonen, K. T., Stenberg, P. O. and Rauttianen, M. (2007) Local
models for forest canopy cover with beta regression. Silva Fennica 41(4) 671-685.
13. Espinheira, P. L., Ferrari, S. L. P., Cribari-Neto, F. (2008) On beta residuals. Journal
of Applied Statistics 35(4) 407-419.
14. Cribari-Neto, F. and Lima, L. B. (2009) A misspecification test for beta regressions.
(unpublished?)
15. Jones, M. C. (2009) Kumaraswamy’s distribution: a beta-type distribution with some
tractability advantages. Statistical Methodology 6:70-81.
© 2013 Timothy G. Gregoire
BetaaRegressionBiblio.pdf
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16. Razzaghi, M. (2009) Beta-normal distribution in dose-response modeling and risk
assessment for quantitative response. Environmental and Ecological Statistics 16: 2536.
17. Cribari-Neto, F. and Zeilis, A. (2010) Beta regression in R. Journal of Statistical
Software 34(2) 1-24.
18. Ospina, R. and Ferrari, S. L. P. (2010) Inflated beta distributions. Statistical Papers
51: 111-116.
19. Simas, A. B., Barreto-Souza, W. and Rocha, A. V. (2010) Improved estimators for a
general class of beta regression models. Computational Statistics and Data Analysis
54: 348-366.
20. Chien, L-C. (2011) Diagnostic plots in beta-regression models. Journal of Applied
Statistics 38(8) 1607-1622.
21. Eskelson, B. N. I., Madsen, L., Hagar, J. C., and Temesgen, H. (2011) Estimating
riparian understory vegetation cover with beta regression and copula models. Forest
Science 57(3) 212-221.
22. Ferrari, S. L. P., Espinheira, P. L., and Cribari-Neto, F. (2011) Diagnostic tools in
beta regression with varying dispersion. Statistical Neerlandica 65(3) 337-351.
23. Lemonte, A. J. (2011) Improved point estimation for the Kumaraswamy distribution.
Journal of Statistical Computation and Simulation 81(12) 1971-1982.
24. Ramalho, E. A. and Ramalho, J. J. S. (2011) Alternative estimating and testing
empirical strategies for fractional regression models. Journal of Economic Surveys
25(1) 19-68.
25. Ospina, R. and Ferrari, S. L. P. (2012) A general class of zero-or-one inflated beta
models. Computational Statistics and Data Analysis. 56(6) 1609-1623.
26. Bonat, W. H., Ribeiro, P. J., and Zeviani, W. M. (2013) Likelihood analysis for a
class of Beta mixed models. Arχiv.org>stat>1312.2413.
27. Cepeda-Cuervo, E., Achcar, J. A., and Lopera, L. G. (2013) Bivariate beta regression
models: joint modeling of the mean, dispersion and association parameters. Journal
of Applied Statistics http://dx.doi.org/10.1080/02664763.2013.847071
28. Cepeda-Cuervo, E. and Núñez-Antón, V. (2013) Spatial double generalized beta
regression models: extensions and application to study quality of education in
Colombia. Journal of Educational and Behavioral Statistics. (online)
29. Figueroa-Zúñiga, J. I. Arellano-Valle, R. B., and Ferrari, S. L. P. (2013) Mixed beta
regression: a Bayesian perspective. Computational Statistics and Data Analysis 61:
137-147.
30. Stewart, C. (2013) Zero-inflated beta distribution for modeling the proportions in
quantitative fatty acid signature analysis. Journal of Applied Statistics 40(5) 985-992.
31. Valbuena, R., Packalen, P., Mehtätlo, L. García_Abril, A. and Maltamo, M. (2013)
Characterizing forest structural types and shelterwood dynamics from Lorenz-based
© 2005 Timothy G. Gregoire
BetaaRegressionBiblio.pdf
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indicators predicted by airborne laser scanning. Canadian Journal of Forest Research
43: 1063-1074.
32. Cordeiro, G. M. and Lemonte, A. J. (2014) The McDonald arcsine distribution: a
new model to proportional data. Statistics 48(1) 182-199.
33. Zhao, W., Zhang, R., Lv, Y. and Liu, J. (2014) Variable selection for varying
dispersion beta regression model. Journal of Applied Statistics 41(2)
http://dx.doi.org/10.1080/02664763.830282.
© 2005 Timothy G. Gregoire