Document Type
Article
Publication Date
2019
Publisher
Pakistan Journal of Statistics
Source Publication
Pakistan Journal of Statistics
Source ISSN
1012-9367
Abstract
In this paper, we present a generalized log Burr III (GLBIII) distribution developed on the basis of a generalized log Pearson differential equation (GLPE). The density function of the GLBIII is exponential, arc, J, reverse-J, bimodal, left-skewed, right- skewed and symmetrical shaped. The hazard rate function of GLBIII distribution has various shapes such as constant, increasing, decreasing, increasing-decreasing, upside- down bathtub and modified bathtub. Descriptive measures such as quantile function, sub- models, ordinary moments, moments of order statistics, incomplete moments, reliability and uncertainty measures are theoretically established. The GLBIII distribution is characterized via different techniques. Parameters of the GLBIII distribution are estimated using maximum likelihood method. A simulation study is performed to illustrate the performance of the maximum likelihood estimates (MLEs). Goodness of fit of this distribution through different methods is studied. The potentiality and usefulness of the GLBIII distribution is demonstrated via its applications to two real data sets.
Recommended Citation
Bhatti, Fiaz Ahmad; Hamedani, Gholamhossein; Ali, Azeem; and Ahmad, Munir, "On the Generalized Log Burr III Distribution: Development, Properties, Characterizations and Applications" (2019). Mathematical and Statistical Science Faculty Research and Publications. 90.
https://epublications.marquette.edu/math_fac/90
Comments
Published version. Pakistan Journal of Statistics, Vol. 35, No. 1 (2019): 35-51. © 2019 Pakistan Journal of Statistics. Used with permission.