References
- R.E. Ahnen, The politics of police violence in democratic Brazil, Lat. Am. Polit. Soc. 49 (2007), pp. 141–164. doi: https://doi.org/10.1111/j.1548-2456.2007.tb00377.x
- E. Altun and G.M. Cordeiro, The unit-improved second-degree Lindley distribution: Inference and regression modeling, Comput. Stat. 35 (2019), pp. 1–21.
- G. Chen and N. Balakrishnan, A general purpose approximate goodness-of-fit test, J. Qual. Technol. 27 (1995), pp. 154–161. doi: https://doi.org/10.1080/00224065.1995.11979578
- S.L.P. Ferrari and F. Cribari-Neto, Beta regression for modelling rates and proportions, J. Appl. Stat. 31 (2004), pp. 799–815. doi: https://doi.org/10.1080/0266476042000214501
- M.E. Ghitany, J. Mazucheli, A.F.B. Menezes, and F. Alqallaf, The unit-inverse gaussian distribution: A new alternative to two-parameter distributions on the unit interval, Comm. Statist. Theory Methods 48 (2019), pp. 3423–3438. doi: https://doi.org/10.1080/03610926.2018.1476717
- E. Gómez-Déniz, M.A. Sordo, and E. Calderín-Ojeda, The log-Lindley distribution as an alternative to the beta regression model with applications in insurance, Insurance Math. Econom. 54 (2014), pp. 49–57. doi: https://doi.org/10.1016/j.insmatheco.2013.10.017
- A. Grassia, On a family of distributions with argument between 0 and 1 obtained by transformation of the gamma distribution and derived compound distributions, Aust. J. Statist. 19 (1977), pp. 108–114. doi: https://doi.org/10.1111/j.1467-842X.1977.tb01277.x
- M. Gurvich, A. DiBenedetto, and S. Ranade, A new statistical distribution for characterizing the random strength of brittle materials, J. Mater. Sci. 32 (1997), pp. 2559–2564. doi: https://doi.org/10.1023/A:1018594215963
- P.R.D. Marinho, M. Bourguignon, and C.R.B. Dias, AdequacyModel: Adequacy of probabilistic models and general purpose optimization, R package version 2.0.0, 2016. Available at https://CRAN.R-project.org/package=AdequacyModel.
- K.H.C. Massa, R. Pabayo, and A.D.P. Chiavegatto Filho, Income inequality and self-reported health in a representative sample of 27 017 residents of state capitals of Brazil, J. Public Health 40 (2018), pp. e440–e446. doi: https://doi.org/10.1093/pubmed/fdy022
- J. Mazucheli, A.F.B. Menezes, and S. Chakraborty, On the one parameter unit-Lindley distribution and its associated regression model for proportion data, J. Appl. Stat. 46 (2019), pp. 700–714. doi: https://doi.org/10.1080/02664763.2018.1511774
- J. Mazucheli, A.F.B. Menezes, and S. Dey, Improved maximum likelihood estimators for the parameters of the unit-gamma distribution, Comm. Statist. Theory Methods 47 (2017), pp. 3767–3778. doi: https://doi.org/10.1080/03610926.2017.1361993
- J. Mazucheli, A.F.B. Menezes, and S. Dey, The unit-Birnbaum-Saunders distribution with applications, Chil. J. Stat. 9 (2018), pp. 47–57.
- J. Mazucheli, A.F.B. Menezes, L.B. Fernandes, R.P. de Oliveira, and M.E. Ghitany, The unit-Weibull distribution and associated inference, J. Appl. Probab. Stat. 13 (2019), pp. 1–22. doi: https://doi.org/10.18576/amis/13S101
- J. Mazucheli, A.F.B. Menezes, L.B. Fernandes, R.P. de Oliveira, and M.E. Ghitany, The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates, J. Appl. Stat. 47 (2019), pp. 954–974. doi: https://doi.org/10.1080/02664763.2019.1657813
- E. Messias, Income inequality, illiteracy rate, and life expectancy in Brazil, Amer. J. Public Health 93 (2003), pp. 1294–1296. doi: https://doi.org/10.2105/AJPH.93.8.1294
- P.A. Mitnik and S. Baek, The Kumaraswamy distribution: Median-dispersion re-parameterizations for regression modeling and simulation-based estimation, Statist. Papers 54 (2013), pp. 177–192. doi: https://doi.org/10.1007/s00362-011-0417-y
- A.M. Mousa, A.A. El-Sheikh, and M.A. Abdel-Fattah, A gamma regression for bounded continuous variables, Adv. Appl. Stat. 49 (2016), pp. 305–326.
- S. Nadarajah and S. Kotz, On some recent modifications of Weibull distribution, IEEE Trans. Reliab. 54 (2005), pp. 561–562. doi: https://doi.org/10.1109/TR.2005.858811
- H. Pham and C.D. Lai, On recent generalizations of the Weibull distribution, IEEE Trans. Reliab. 56 (2007), pp. 454–458. doi: https://doi.org/10.1109/TR.2007.903352
- V. Royuela and G.A. García, Economic and social convergence in Colombia, Reg. Stud. 49 (2015), pp. 219–239. doi: https://doi.org/10.1080/00343404.2012.762086
- M. Santos-Neto, M. Bourguignon, L.M. Zea, A.D. Nascimento, and G.M. Cordeiro, The Marshall-Olkin extended Weibull family of distributions, J. Stat. Distrib. Appl. 1 (2014), pp. 9. doi: https://doi.org/10.1186/2195-5832-1-9
- A. Sen, The standard of living: Lecture I, concepts and critiques, The Standard of Living, Cambridge: Cambridge University Press, 1987, pp. 1–19.
- A. Sen, Develoment as Freedom, Alfred A. Knopf, New York, 1999.
- P.R. Tadikamalla, On a family of distributions obtained by the transformation of the gamma distribution, J. Stat. Comput. Simul. 13 (1981), pp. 209–214. doi: https://doi.org/10.1080/00949658108810497
- U.G. Assembly, Work of the statistical commission pertaining to the 2030 agenda for sustainable development (A/RES/71/313), UN General Assembly, New York, NY, USA 2017.
- UNESCO, Education for All Global Monitoring Report 2006: Education for All. Literacy for life, Oxford University Press, 2005.
- UNESCO, Education for All Global Monitoring Report 2015, UNESCO, Paris, 2015.
- W. Weibull, A statistical distribution of wide applicability, J. Appl. Mech. 18 (1951), pp. 293–297.