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Exponentiated-exponential geometric regression model

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  • Felix Famoye
  • Carl Lee

Abstract

A regression model, based on the exponentiated-exponential geometric distribution, is defined and studied. The regression model can be applied to count data with under-dispersion or over-dispersion. Some forms of its modifications to truncated or inflated data are mentioned. Some tests to discriminate between the regression model and its competitors are discussed. Real numerical data sets are used to illustrate the applications of the regression model.

Suggested Citation

  • Felix Famoye & Carl Lee, 2017. "Exponentiated-exponential geometric regression model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(16), pages 2963-2977, December.
    • Handle: RePEc:taf:japsta:v:44:y:2017:i:16:p:2963-2977
    DOI: 10.1080/02664763.2016.1267117
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    References listed on IDEAS

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    1. Terza, Joseph V., 1985. "A Tobit-type estimator for the censored Poisson regression model," Economics Letters, Elsevier, vol. 18(4), pages 361-365.
    2. Gurmu, Shiferaw & Elder, John, 2000. "Generalized bivariate count data regression models," Economics Letters, Elsevier, vol. 68(1), pages 31-36, July.
    3. A. C. Cameron & P. K. Trivedi & Frank Milne & J. Piggott, 1988. "A Microeconometric Model of the Demand for Health Care and Health Insurance in Australia," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(1), pages 85-106.
    4. Famoye, Felix & Wang, Weiren, 2004. "Censored generalized Poisson regression model," Computational Statistics & Data Analysis, Elsevier, vol. 46(3), pages 547-560, June.
    5. Bharati Basu & Felix Famoye, 2004. "Domestic violence against women, and their economic dependence: A count data analysis," Review of Political Economy, Taylor & Francis Journals, vol. 16(4), pages 457-472.
    6. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    7. Ayman Alzaatreh & Carl Lee & Felix Famoye, 2013. "A new method for generating families of continuous distributions," METRON, Springer;Sapienza Università di Roma, vol. 71(1), pages 63-79, June.
    8. Felix Famoye, 2010. "On the bivariate negative binomial regression model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(6), pages 969-981.
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    Citations

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    Cited by:

    1. Jamiu S. Olumoh & Osho O. Ajayi & Sauta S. AbdulKadir, 2022. "A quasi-negative binomial regression with an application to medical care data," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3029-3052, October.
    2. Friday Ikechukwu Agu & Joseph Thomas Eghwerido, 2021. "Agu-Eghwerido distribution, regression model and applications," Statistics in Transition New Series, Polish Statistical Association, vol. 22(4), pages 59-76, December.
    3. Agu Friday Ikechukwu & Eghwerido Joseph Thomas, 2021. "Agu-Eghwerido distribution, regression model and applications," Statistics in Transition New Series, Polish Statistical Association, vol. 22(4), pages 59-76, December.
    4. Ayman Alzaatreh & Mohammad A. Aljarrah & Michael Smithson & Saman Hanif Shahbaz & Muhammad Qaiser Shahbaz & Felix Famoye & Carl Lee, 2021. "Truncated Family of Distributions with Applications to Time and Cost to Start a Business," Methodology and Computing in Applied Probability, Springer, vol. 23(1), pages 5-27, March.
    5. Carl Lee & Felix Famoye & Alfred Akinsete, 2021. "Generalized Count Data Regression Models and Their Applications to Health Care Data," Annals of Data Science, Springer, vol. 8(2), pages 367-386, June.

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