Exportar registro bibliográfico


New links for binary regression: an application to coca cultivation in Peru (2018)

  • Authors:
  • USP affiliated authors: GUZMÁN, JORGE LUIS BAZÁN - ICMC
  • Unidades: ICMC
  • DOI: 10.1007/s11749-017-0563-1
  • Keywords: Binary response model; Maximum likelihood estimation; Parametric link function; Symmetric distributions
  • Language: Inglês
  • Imprenta:
  • Source:
    • Título do periódico: Test
    • ISSN: 1133-0686
    • Volume/Número/Paginação/Ano: v. 27, n. 3, p. 597-617, Set. 2018
  • Online source accessDOI
    Informações sobre o DOI: 10.1007/s11749-017-0563-1 (Fonte: oaDOI API)
    • Este periódico é de assinatura
    • Este artigo NÃO é de acesso aberto
    • Cor do Acesso Aberto: closed

    How to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      LEMONTE, Artur J.; BAZÁN GUZMÁN, Jorge Luis. New links for binary regression: an application to coca cultivation in Peru. Test, Heidelberg, Germany, Springer, v. 27, n. 3, p. 597-617, 2018. Disponível em: < http://dx.doi.org/10.1007/s11749-017-0563-1 > DOI: 10.1007/s11749-017-0563-1.
    • APA

      Lemonte, A. J., & Bazán Guzmán, J. L. (2018). New links for binary regression: an application to coca cultivation in Peru. Test, 27( 3), 597-617. doi:10.1007/s11749-017-0563-1
    • NLM

      Lemonte AJ, Bazán Guzmán JL. New links for binary regression: an application to coca cultivation in Peru [Internet]. Test. 2018 ; 27( 3): 597-617.Available from: http://dx.doi.org/10.1007/s11749-017-0563-1
    • Vancouver

      Lemonte AJ, Bazán Guzmán JL. New links for binary regression: an application to coca cultivation in Peru [Internet]. Test. 2018 ; 27( 3): 597-617.Available from: http://dx.doi.org/10.1007/s11749-017-0563-1

    Referências citadas na obra
    Albert JH, Chib S (1993) Bayesian analysis of binary and polychotomous response data. J Am Stat Assoc 88:669–679
    Agresti A (2010) Analysis of ordinal categorical data, 2nd edn. Wiley, New Jersey
    Agresti A (2012) Categorical data analysis, 3rd edn. Wiley, New Jersey
    Aranda-Ordaz FJ (1981) On two families of transformations to additivity for binary response data. Biometrika 68:357–364
    Arnold B, Groeneveld R (1995) Measuring skewness with respect to the mode. Am Stat 49:34–38
    Atkinson AC (1985) Plots, transformation and regression: an introduction to graphical methods of diagnostic regression analysis. Oxford University Press, New York
    Basu S, Chib S (2003) Marginal likelihood and Bayes factors for Dirichlet process mixture models. J Am Stat Assoc 98:224–235
    Bazán JL, Branco MD, Bolfarine H (2006) A skew item response model. Bayesian Anal 1:861–892
    Bazán JL, Millones O (2008) Una clasificación de modelos de regresión binaria asimétrica: el uso del BAYES-PUCP en una aplicación sobre la decisión del cultivo ilícito de hoja de coca. Economía 62:17–32
    Bazán JL, Romeo JS, Rodrigues J (2014) Bayesian skew-probit regression for binary response data. Braz J Probab Stat 28:467–482
    Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach. Springer, New York
    Chen MH, Dey DK, Shao Q-M (1999) A new skewed link model for dichotomous quantal response data. J Am Stat Assoc 94:1172–1186
    Chib S, Jeliazkov I (2006) Inference in semiparameteric dynamic models for binary longitudinal data. J Am Stat Assoc 101:685–700
    Collet D (2003) Modelling binary data, 2nd edn. Chapman and Hall/CRC, Boca Raton
    Cook RD (1986) Assessment of local influence (with discussion). J R Stat Soc B 48:133–169
    Cox DR, Reid N (1987) Parameter orthogonality and approximate conditional inference (with discussion). J R Stat Soc B 40:1–39
    Czado C (1994a) Parametric link modification of both tails in binary regression. Stat Pap 35:189–201
    Czado C (1994b) Bayesian inference of binary regression models with parametric link. J Stat Plan Inference 41:121–140
    Czado C, Santner TJ (1992) The effect of link misspecification on binary regression inference. J Stat Plan Inference 33:213–231
    Doornik JA (2013) Object-oriented matrix programming using Ox. Timberlake Consultants Press, London
    Dunn PK, Smyth GK (1996) Randomised quantile residuals. J Comput Graph Stat 5:236–244
    Fang KT, Kotz S, Ng KW (1990) Symmetric multivariate and related distributions. Chapman and Hall, London
    Guerrero VM, Johnson RA (1982) Use of the Box–Cox transformation with binary response models. Biometrika 69:309–314
    Gupta RD, Gupta RC (2008) Analysing skewed data by power normal model. Test 17:197–210
    Jiang X, Dey DK, Prunier R, Wilson AM, Holsinger KE (2013) A new class of flexible link functions with application to species co-occurrence in cape floristic region. Ann Appl Stat 7:2180–2204
    Kim S, Chen MH, Dey DK (2008) Flexible generalized $$t$$ t -link models for binary response data. Biometrika 95:93–106
    Klein R, Spady R (1993) An efficient semiparametric estimator for binary response models. Econometrica 61:387–421
    Li D, Wang X, Song S, Zhang N, Dey DK (2015) Flexible link functions in a joint model of binary and longitudinal data. Stat 4:320–330
    Liu C (2004) Robit regression: a simple robust alternative to logistic and probit regression. In: Gelman A, Meng X-L (eds) Appl Bayesian Model Causal Inference. Wiley, New York, pp 227–38
    Nagler J (1994) Scobit: an alternative estimator to logit and probit. Am J Polit Sci 38:230–255
    Neter J, Kutner MH, Nachtsheim CJ, Wasserman W (1996) Applied linear statistical models, 4th edn. Irwin, Chicago
    Newton MA, Czado C, Chappell R (1996) Bayesian inference for semiparametric binary regression. J Am Stat Assoc 91:142–153
    Pregibon D (1980) Goodness of link tests for generalized linear models. J R Stat Soc C 29:15–24
    Prentice RL (1976) A generalization of the probit and logit methods for dose-response curves. Biometrika 32:761–768
    R Core Team (2016) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
    Rao CR (1973) Linear statistical inference and its applications, 2nd edn. Wiley, New York
    Stukel T (1988) Generalized logistic models. J Am Stat Assoc 83:426–431
    Taylor JMG, Siqueira AL, Weiss RE (1996) The cost of adding parameters to a model. J R Stat Soc B 58:593–607
    Thomas W, Cook RD (1990) Assessing influence on predictions from generalized linear models. Biometrika 76:741–749
    Union Nation (2003). Peru Coca Survey for 2002. UN Office of Drugs and Crime. http://www.unodc.org/pdf/publications/peru_coca-survey_2002.pdf
    Vuong QH (1989) Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica 57:307–333
    Wang X, Dey DK (2010) Generalized extreme value regression for binary response data: an application to B2B electronic payments system adoption. Ann Appl Stat 4:2000–2023

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2020