Document Type
Article
Publication Date
9-2016
Publication Title
Austrian Journal of Statistics
DOI
10.17713/ajs.v45i3.107
ISSN
1026-597X
Abstract
In this paper, a new generalized distribution called the log-logistic Weibull (LLoGW) distribution is developed and presented. This distribution contain the log-logistic Rayleigh (LLoGR), log-logistic exponential (LLoGE) and log-logistic (LLoG) distributions as special cases. The structural properties of the distribution including the hazard function, reverse hazard function, quantile function, probability weighted moments, moments, conditional moments, mean deviations, Bonferroni and Lorenz curves, distribution of order statistics, L-moments and Renyi entropy are derived. Method of maximum likelihood is used to estimate the parameters of this new distribution. A simulation study to examine the bias, mean square error of the maximum likelihood estimators and width of the condence intervals for each parameter is presented. Finally, real data examples are presented to illustrate the usefulness and applicability of the model.
Recommended Citation
Oluyede, Broderick O., Susan Foya, Gayan Warahena-Liyanage, Shujiao Huang.
2016.
"The Log-Logistic Weibull Distribution with Applications to Lifetime Data."
Austrian Journal of Statistics, 45 (3): 43-69.
doi: 10.17713/ajs.v45i3.107
https://digitalcommons.georgiasouthern.edu/math-sci-facpubs/356
Comments
The Austrian Journal of Statistics publishes open access articles under the terms of the Creative Commons Attribution (CC BY) License.