Journal of Statistics: Advances in Theory and Applications[1] World Health Organization (WHO), Antenatal Care Randemization
Trial: Manual for Implementation of the New Model, WHO: Geneva,
2002.
[2] World Health Organization, Recommendations on Antenatal Care for a
Positive Pregnancy Experience, World Health Organization: Geneva,
2016.
http://apps.who.int/iris/bitstream/10665/250796/1/9789241549912-eng.pd
f?ua=1
[3] C. L. Abou-Zahr and T. M. Wardlaw, World Health Organization,
Antenatal Care in Developing Countries: Promises, Achievements and
Missed Opportunities: An Analysis of Trends, Levels and Differentials,
1990-2001, WHO: Geneva, 2003.
[4] J. E. Lawn, H. Blencowe, P. Waiswa, A. Amouzou, C. Mathers, D.
Hogan et al., Stillbirths: Rates, risk factors, and acceleration
towards 2030, Lancet 387(10018) (2016), 587-603.
DOI: https://doi.org/10.1016/S0140-6736(15)00837-5
[5] J. M. Hilbe, Negative Binomial Regression, Cambridge University
Press, New York, 2011.
DOI: https://doi.org/10.1017/CBO9780511973420
[6] S. Coxe, S. G. West and L. S. Aiken, The analysis of count data: A
gentle introduction to Poisson regression and its alternatives,
Journal of Personality Assessment 91(2) (2009), 121-136.
DOI: https://doi.org/10.1080/00223890802634175
[7] K. F. Sellers and G. Shmueli, A flexible regression model for
count data, Annals of Applied Statistics 4(2) (2010), 943-961.
DOI: https://doi.org/10.2307/29765537
[8] A. C. Cameron and P. K. Trivedi, Regression Analysis of Count
Data, 2nd Edition, Econometric Society Monograph No. 53, Cambridge
University Press, Cambridge, 2013.
[9] R. Winkelmann and K. F. Zimmermann, Recent developments in count
data modelling: Theory and application, Journal of Economic Surveys
9(1) (1995), 1-24.
DOI: https://doi.org/10.1111/j.1467-6419.1995.tb00108.x
[10] W. Wang and F. Famoye, Modeling household fertility decisions
with generalized Poisson regression, Journal of Population Economics
10(3) (1997), 273-283.
DOI: https://doi.org/10.1007/s001480050043
[11] F. Castellares, S. L. P. Ferrari and A. J. Lemonte, On the Bell
distribution and its associated regression model for count data,
Applied Mathematical Modelling 56 (2018), 172-185
DOI: https://doi.org/10.1016/j.apm.2017.12.014
[12] Z. Yang, J. W. Hardin, C. L. Addy and Q. H. Vuong, Testing
approaches for overdispersion in Poisson regression versus the
generalized Poisson model, Biometrical Journal 49(4) (2007),
565-584.
DOI: https://doi.org/10.1002/bimj.200610340
[13] P. C. Consul and G. C. Jain, A generalization of the Poisson
distribution, Technometrics 15(4) (1973), 791-799.
DOI: https://doi.org/10.2307/1267389
[14] R. Winkelmann and K. F. Zimmermann, Count data models for
demographic data, Mathematical Population Studies 4(3) (1994),
205-221.
DOI: https://doi.org/10.1080/08898489409525374
[15] K. F. Sellers and D. S. Morris, Underdispersion models: Models
that are “under the radar”, Communications in Statistics - Theory
and Methods 46(24) (2017), 12075-12086.
DOI: https://doi.org/10.1080/03610926.2017.1291976
[16] J. A. Nelder and R. W. A. Wedderburn, Generalized linear models,
Journal of the Royal Statistical Society: Series A 135(3) (1972),
370-384.
DOI: https://doi.org/10.2307/2344614
[17] P. McCullagh and J. A. Nelder, Generalized Linear Models, Second
Edition, Chapman and Hall, London, 1989.
[18] D. C. Montgomery, E. A. Peck and G. G. Vining, Introduction to
Linear Regression Analysis, Fifth Edition, John Wiley and Sons, Inc.,
New Jersey, USA, 2012.
[19] A. J. Dobson and A. G. Barnett, An Introduction to Generalized
Linear Models, Fourth Edition, Taylor and Francis Group, CRC Press,
London, 2018.
DOI: https://doi.org/10.1201/9781315182780
[20] A. Riyami, M. Afifi, H. Al-Kharusi and M. Morsi, National Health
Survey, Volume 2, Reproductive Health Survey, Ministry of Health,
Muscat, Oman, 2000.
