Home Some Characterizations of the Log-Logistic Distribution
Article
Licensed
Unlicensed Requires Authentication

Some Characterizations of the Log-Logistic Distribution

  • Mohammad Ahsanullah and Ayman Alzaatreh EMAIL logo
Published/Copyright: May 26, 2018
Become an author with De Gruyter Brill

Abstract

The log-logistic distribution is a right skewed distribution of a random variable whose logarithm has the logistic distribution. In this paper, characterizations based on truncated moments, functions of order statistics and record values are obtained. Also, limiting distributions for the extreme order statistics are studied.

MSC 2010: 62E10; 62E20

Acknowledgements

The authors are very grateful to the editor and the reviewers for various constructive comments and suggestions that have greatly improved the paper.

References

[1] M. Ahsanullah, On some characterizations of univariate distributions based on truncated moments of order statistics, Pakistan J. Statist. 25 (2009), no. 2, 83–91. Search in Google Scholar

[2] M. Ahsanullah and V. B. Nevzorov, Ordered Random Variables, Nova Science, Huntington, 2001. Search in Google Scholar

[3] M. Ahsanullah, V. B. Nevzorov and M. Shakil, An Introduction to Order Statistics, Atlantis Stud. Probab. Stat. 3, Atlantis Press, Paris, 2013. 10.2991/978-94-91216-83-1Search in Google Scholar

[4] M. M. Ali and A. H. Khan, On order statistics from the log-logistic distribution, J. Statist. Plann. Inference 17 (1987), no. 1, 103–108. 10.1016/0378-3758(87)90104-2Search in Google Scholar

[5] A. Alzaatreh, C. Lee and F. Famoye, A new method for generating families of continuous distributions, Metron 71 (2013), no. 1, 63–79. 10.1007/s40300-013-0007-ySearch in Google Scholar

[6] B. C. Arnold, N. Balakrishnan and H. N. Nagaraja, A First Course in Order Statistics, Wiley Ser. Probab. Stat., John Wiley & Sons, New York, 1992. Search in Google Scholar

[7] F. Ashkar and S. Mahdi, Fitting the log-logistic distribution by generalized moments, J. Hydrol. 238 (2006), 694–703. 10.1016/j.jhydrol.2006.01.014Search in Google Scholar

[8] S. Bennett, Log-logistic regression models for survival data, J. R. Stat. Soc. Ser. C. Appl. Stat. 32 (1983), 165–171. 10.2307/2347295Search in Google Scholar

[9] D. Collett, Modelling Survival Data in Medical Research, 2nd ed., CRC Press, Boca Raton, 2003. Search in Google Scholar

[10] J. Galambos and S. Kotz, Characterizations of Probability Distributions. A Unified Approach with an Emphasis on Exponential and Related Models, Lecture Notes in Math. 675, Springer, Berlin, 1978. Search in Google Scholar

[11] C. Lee, F. Famoye and A. Alzaatreh, Methods for generating families of continuous distribution in the recent decades, WIREs Comput. Stat. 5 (2013), 219–238. 10.1002/wics.1255Search in Google Scholar

[12] A. Ragab and J. Green, On order statistics from the log-logistic distribution and their properties, Comm. Statist. Theory Methods 13 (1984), no. 21, 2713–2724. 10.1080/03610928408828855Search in Google Scholar

[13] M. W. A. Ramos, A. Percontini, G. M. Cordeiro and R. V. da Silva, The Burr XII negative binomial distribution with applications to lifetime data, Int. J. Stat. Probab. 4 (2015), 109–125. 10.5539/ijsp.v4n1p109Search in Google Scholar

[14] M. M. Shoukri, I. U. H. Mian and D. S. Tracy, Sampling properties of estimators of the log-logistic distribution with application to Canadian precipitation data, Canad. J. Statist. 16 (1988), no. 3, 223–236. 10.2307/3314729Search in Google Scholar

Received: 2018-1-28
Revised: 2018-4-28
Accepted: 2018-4-29
Published Online: 2018-5-26
Published in Print: 2018-6-1

© 2018 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 3.10.2025 from https://www.degruyterbrill.com/document/doi/10.1515/eqc-2018-0003/html
Scroll to top button