A New Two-parameter Modified Half-logistic Distribution: Properties and Applications

  • Gorgees Shaheed University of Al Qadisiyah, Iraq
Keywords: Moments; likelihood estimation; Entropy ; Half-Logistic distribution

Abstract

This article aims to present and analyse a modified two-parameter version of the Half-Logistic lifetime model.The hazard function, quantile function, asymptotic, linear combination, extreme value, moments, incomplete moments, residual entropies, moment generating function and order statistics, all theoretical properties of this model that are derived and discussed in depth. By performing a simulation analysis, the various techniques of estimation are compared to the estimates of the maximum likelihood of parameters.Finally, two actual data sets have been applied to illustrate the goals of this article.

References

Alizadeh, M., Emadi, M., Doostparast, M. (2019). A New Two-Parameter Lifetime Distribution: Properties, Applications and Different Method of Estimations.Statistics, Optimization Information Computing, 7(2), 291-310.

Anderson, T. W. and Darling, D. A. (1952). Asymptotic theory of certain ”goodness of fit” criteria based on stochastic processes. The annals of mathematical statistics, 193-212.

Balakrishnan, N. (1985). Order statistics from the half logistic distribution. Journal of Statistical Computation and Simulation, 20(4), 287-309.

Cheng RCH, Amin NAK (1979) Maximum product-of-spacings estimation with applications to the lognormal distribution. Technical Report, Department of Mathematics, University of Wales

Cheng RCH, Amin NAK (1983) Estimating parameters in continuous univariate distributions with a shifted origin. J R Stat Soc B3:394-403.

Choi, K. and Bulgren, W. (1968). An estimation procedure for mixtures of distributions. Journal of the Royal Statistical Society. Series B (Methodological), 444-460.

Cordeiro, G. M., de Castro, M. (2011). A new family of generalized distributions. Journal of statistical computation and simulation, 81(7), 883-898.

Dey, S., Mazucheli, J., Nadarajah, S. (2017). Kumaraswamy distribution: different methods of estimation. Computational and Applied Mathematics, 1-18.

Ghitany, M. E., Atieh, B., Nadarajah, S. (2008). Lindley distribution and its application. Mathematics and computers in simulation, 78(4), 493-506.

Ghitany, M. E., Al-Mutairi, D. K., Balakrishnan, N., Al-Enezi, L. J. (2013). Power Lindley distribution and associated inference. Computational Statistics Data Analysis, 64, 20-33.

Gleaton, J. U., Lynch, J. D. (2006). Properties of generalized log-logistic families of lifetime distributions. Journal of Probability and Statistical Science, 4(1), 51-64.

Gradshteyn, I. S. and Ryzhik, I. M. (2007), Table of Integrals, Series, and Products,7 edn, Academic Press, New York.

Gupta, R. D., Kundu, D. (1999). Theory methods: Generalized exponential distributions. Australian New Zealand Journal of Statistics, 41(2), 173-188.

Jones, M. C. (2004). Families of distributions arising from distributions of order statistics. Test, 13(1), 1-43.

Kang, S. B., Seo, J. I. (2011). Estimation in an exponentiated half logistic distribution under progressively type-II censoring. Communications for Statistical Applications and Methods, 18(5), 657-666.

Leadbetter, M. R., Lindgren, G., Rootzn, H. (2012). Extremes and related properties of random sequences and processes. Springer Science Business Media.

Murthy, D. P., Xie, M., Jiang, R. (2004). Weibull models Vol. 505. John Wiley Sons.

Nadarajah, S., Haghighi, F. (2011). An extension of the exponential distribution. Statistics, 45(6), 543-558.

Oliveira, J., Santos, J., Xavier, C., Trindade, D., Cordeiro, G. M. (2016). The McDonald half-logistic distribution: Theory and practice. Communications in Statistics-Theory and Methods, 45(7), 2005-2022.

Swain, J. J., Venkatraman, S., and Wilson, J. R. (1988). Least-squares estimation of distribution functions in johnson’s translation system. Journal of Statistical Computation and Simulation, 29, 271- 297.

Published
2021-05-24
How to Cite
Shaheed, G. (2021). A New Two-parameter Modified Half-logistic Distribution: Properties and Applications. Statistics, Optimization & Information Computing, 10(2), 589-605. https://doi.org/10.19139/soic-2310-5070-1210
Section
Research Articles