References

BAYESIAN INFERENCE FOR ZERO-INFLATED POISSON REGRESSION MODELS


[1] K. Bjartveit and A. Tverdal, Health consequences of smoking 14 cigarettes per day, Tob Control 14 (2005), 315-320.

[2] A. Cameron and P. K. Trivedi, Econometric models based on count data: Comparisons and applications of some estimators and tests, Journal of Applied Econometrics 1 (1986), 29-53.

[3] A. Cameron and P. K. Trivedi, Regression-based tests for overdispersion in the Poisson model, Journal of Econometrics 46 (1990), 347-364.

[4] George Casella and Roger Berger, Statistical Inference, (2nd Edition), Duxbury/Thomson Learning, 2002.

[5] H. C. Chin and M. A. Quddus, Modelling count data with excess zeroes: An empirical application to traffic accidents, Sociological Methods and Research 32 (2003), 90-111.

[6] G. A. Dagne, Hierarchical Bayesian analysis of correlated zero-inflated count data, Biometrical Journal 46 (2004), 653-663.

[7] C. Dean and J. F. Lawless, Tests for detecting overdispersion in Poisson regression models, Journal of the American Statistical Association 84 (1989), 467-472.

[8] A. Gelman, J. B. Carlin, H. S. Stern and D. B. Rubin, Bayesian Data Analysis, (2nd Edition), Boca Raton, Fla, 2004.

[9] S. K. Ghosh, P. Mukhopadhyay and J. C. Lu, Bayesian analysis of zero-inflated regression models, Journal of Statistical Planning and Inference 136 (2006), 1360-1375.

[10] W. H. Greene, Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models, Working Paper EC-94-10, Department of Econometrics, New York University, 1994.

[11] D. B. Hall, Zero-inflated Poisson and binomial regression with random effects: A case study, Biometrics 56 (2000), 1030-1039.

[12] J. Hausman, D. B. Hall and Z. Griliches, Econometric models for count data with an application to the patents R & D relationship, Econometrica 52 (1984), 909-938.

[13] D. Heilbron, Zero-altered and other regression models for count data with added zeros, Biometrical Journal 36 (1994), 531-547.

[14] J. S. House, Americans’ Changing Lives: Waves I, II and III, (1968, 1989 and 1994), [Computer file], ICPSR version, Ann Arbor, MI: University of Michigan, Institute for Social Research, Survey Research Center [Producer], (2002), Ann Arbor, MI: Inter-university Consortium for Political and Social Research [Distributor], (2003), 2002.

[15] G. King, Event count models for international relations: Generalizations and applications, International Studies Quarterly 33 (1989), 123-147.

[16] D. Lambert, Zero-inflated Poisson regression with an application to defects in manufacturing, Technometrics 34 (1992), 1-14.

[17] H. Liu and D. A. Powers, Growth curve models for zero-inflated count data: An application to smoking behaviour, Structural Equation Modelling 14(2) (2007), 247-279.

[18] J. S. Long, Regression Models for Categorical and Limited Dependent Variables, Advanced Quantitative Techniques in the Social Sciences, Sage Publications, Inc., 1997.

[19] J. S. Long and J. Freese, Regression Models for Categorical Dependent Variables using Stata, (2nd Edition), College Station, TX: Stata Press, 2006.

[20] S. Lynch and B. Western, Bayesian posterior predictive checks for complex models, Sociological Methods and Research 32 (2004), 301-335.

[21] S. Lynch, An Introduction to Applied Bayesian Statistics and Estimation for Social Scientists, Springer Science and Business Media, LLC, 2007.

[22] J. Mullahy, Specification and testing of some modified count data models, Journal of Econometrics 33 (1986), 341-365.

[23] J. Mullahy, Heterogeneity, excess zeros, and the structure of count data models, Journal of Applied Econometrics 12 (1997), 337-350.

[24] B. O’Hara, U. Liggs and S. Sturtz, Making BUGS open, R. News 6 (2006), 12-17.

[25] F. C. Pampel, Age and education patterns of smoking among women in high-income nations, Social Science and Medicine 57 (2003), 1505-1514.

[26] D. J. Spiegelhalter, A. Thomas, N. G. Best and W. Gilks, Bayesian Inference using Gibbs Sampling Manual Volume (Version ii), Cambridge: MRC Biostatistics Unit, Institue of Public Health, 1996.

[27] D. J. Spiegelhalter, N. G. Best, B. P. Carline and A. Van der Linder, Bayesian method of model complexity and fit (with discussion), Journal of the Royal Statistical Society B 64 (2002), 583-639.

[28] D. Umberson, M. D. Chen, J. S. House, K. Hopkins and E. Slaten, Social Relationships and their effects on psychological well-being: Are men and women really so different, American Sociological Review 61 (1996), 836-856.

[29] C. J. W. Zorn, An analytic and empirical examination of zero-inflated and Hurdle Poisson specifications, Sociological Methods and Research 26 (1998), 368-400.