A Two-Parameter Inverted Exponentiated Skewed Student-T Distribution: Theory and Application

Authors

  • Danjuma Idi Department of Statistics, Faculty of Physical Sciences, Modibbo Adama University, Yola, Adamawa State, Nigeria Author
  • Danjuma Jibasen Department of Statistics, Faculty of Physical Sciences, Modibbo Adama University, Yola, Adamawa State, Nigeria Author
  • Abraham Okolo Department of Statistics, Faculty of Physical Sciences, Modibbo Adama University, Yola, Adamawa State, Nigeria Author
  • Emmanuel Torsen Department of Statistics, Faculty of Physical Sciences, Modibbo Adama University, Yola, Adamawa State, Nigeria Author

DOI:

https://doi.org/10.62054/ijdm/0102.10

Keywords:

Characteristic Function, Inverted, Maximum Likelihood, Order statistics

Abstract

In this study, a new two-parameter generalization of the skew-t distribution called the Inverted Exponentiated Skew t distribution, has been proposed. Some properties of the model like order statistics, entropy, asymptotic behavior, moments, characteristic function, and quantile function were derived. Parameter estimates using maximum likelihood estimation were consistent and the behavior of the estimates with increase in sample size was studied using Montecarlo simulation. The flexibility of the Inverted Exponentiated Skew Student t model was demonstrated by application to four financial datasets and the results revealed that the Inverted Exponentiated Skew Student t model yielded a better fit

References

Aas K., and Haff I. H. (2006). The Generalised Hyperbolic Skew Student’s t-distribution. Journal of Financial Econometric, 4(2), 275-309.

Adubisi, O. D., Abdulkadir, A., Chiroma, H., and Abbas, U. F. (2021). The type I half logistic skew-t distribution: A heavy-tail model with inverted bathtub shaped hazard rate. Asian Journal of Probability and Statistics, 14(4), 21-40.

Alizadeh, M., Cordeiro, G. M., Pinho, L. G. B., and Ghosh, I. (2017). The Gompertz-G family of distributions. Journal of statistical theory and practice, 11, 179-207.

Alizadeh, M., Rasekhi, M., Yousof, H. M., and Hamedani, G. G. (2018). The transmuted Weibull-G family of distributions. Hacettepe Journal of Mathematics and Statistics, 47(6), 1671-1689.

Banerjee, P., and Bhunia, S. (2022). Exponential Transformed Inverse Rayleigh Distribution: Statistical Properties and Different Methods of Estimation. Austrian Journal of Statistics, 51(4), 60-75.

Basalamah, D., Ning, W., and Gupta, A. (2018). The beta skew t distribution and its properties. Journal of Statistical theory and practice, 12, 837-860.

Bergmann, D. R., and de Oliveira, M. A. (2013). Modeling the distribution of brazilian stock returns via scaled student-t. International Research Journal of Finance and Economics, (108), 27.

Blattberg, R. C., and Gonedes, N. J. (1977). A Comparison of the Stable and Student Distributions as Statistical Models for Stock Prices: Reply. The Journal of Business, 50(1), 78.

Brazauskas, V. and Kleefeld, A. (2011). Folded- and log-folded-t distributions as models for insurance loss data. Scandinavian Actuarial Journal, 59-74.

Cademartori, D., Romo, C., Campos, R. and Galea, M. (2003). Robust estimation of systematic risk using the t distribution in the Chilean stock markets. Applied Economics Letters, 10, 447-453.

Carta, J. A., Ramirez, P., and Velazquez, S. (2009). A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands. Renewable and sustainable energy reviews, 13(5), 933-955.

Chai, T., and Draxler, R. R. (2014). Root mean square error (RMSE) or mean absolute error (MAE)?–Arguments against avoiding RMSE in the literature. Geoscientific model development, 7(3), 1247-1250.

Chesneau, C., Tomy, L., Gillariose, J., and Jamal, F. (2020). The inverted modified Lindley distribution. Journal of Statistical Theory and Practice, 14(3), 46.

Cordeiro, G. M., Ortega, E. M., and da Cunha, D. C. (2013). The exponentiated generalized class of distributions. Journal of data science, 11(1), 1-27.

Dikko, H. G., and Agboola, S. (2017a). Statistical Properties of Exponentiated Skewed Student-t Distributions. Journal of the Nigeria Association of Mathematical Physics, 4(7), 251-260.

Hodson, T. O. (2022). Root-mean-square error (RMSE) or mean absolute error (MAE): When to use them or not. Geoscientific Model Development, 15(14), 5481-5487.

Jones, M. C. and Faddy, M. J. (2003). A skew extension of the t distribution, with applications. Journal of the Royal Statistical Society, B, 65, 159-174.

Li, R., and Nadarajah, S. (2020). A review of Student’st distribution and its generalizations. Empirical economics, 58, 1461-1490.

Malmsten, H., and Teräsvirta, T. (2010). Stylized facts of financial time series and three popular models of volatility. European Journal of pure and applied mathematics, 3(3), 443-477.

Mansour, M. M., Abd Elrazik, E. M., Afify, A. Z., Ahsanullah, M., and Altun, E. (2019). The transmuted transmuted-G family: properties and applications. J. Nonlinear Sci. Appl, 12, 217-229.

OI, S., Adepoju, K. A., and Adeniji, O. E. (2014). On Beta Skew-t Distribution in Modelling Stock Returns in Nigeria. Int. J. Modern Math. Sci, 11(2), 94-102.

Pierce, J. R. (2012). An introduction to information theory: symbols, signals and noise. Courier Corporation.

Roozegar, R., Nematollahi, A. and Jamalizadeh, A. (2016). Properties and inference for a new class of skew-t distributions. Communications in Statistics - Simulation and Computation, 45, 3217-3237.

Said, K. K., Basalamah, D., Ning, W., and Gupta, A. (2018). The Kumaraswamy skew-t distribution and its related properties. Communications in Statistics-Simulation and Computation, 47(8), 2409-2423.

Yousof, H. M., Afify, A. Z., Hamedani, G. G., and Aryal, G. R. (2017). The Burr X Generator of Distributions for Lifetime Data. J. Stat. Theory Appl., 16(3), 288-305.

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Published

2024-06-02

How to Cite

A Two-Parameter Inverted Exponentiated Skewed Student-T Distribution: Theory and Application. (2024). International Journal of Development Mathematics (IJDM), 1(2), 141-152. https://doi.org/10.62054/ijdm/0102.10

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