Title of article :
The Weibull odd Burr III-G family of distributions: Properties and applications
Author/Authors :
Peter, Peter O Department of Mathematics and Statistical Sciences - Biust - Palapye, BW , Oluyede, Broderick Department of Mathematics and Statistical Sciences - Biust - Palapye, BW , Ndwapi, Nkumbuludzi Department of Mathematics and Statistical Sciences - Biust - Palapye, BW , Bindele, Huybrechts Department of Mathematics and Statistics - University of South Alabama, USA
Pages :
30
From page :
113
To page :
142
Abstract :
A new generalized family of distributions called the Weibull Odd Burr III-G is introduced using the T-X transformation technique. Some of useful mathematical and statistical properties such as the hazard function, quantile function, moments, probability weighted moments, Rényi entropy, order statistics and stochastic orders are derived. The method of maximum likelihood estimation is used to estimate the model parameters. The usefulness of these family of distributions is demonstrated via simulated experiments and its special cases are applied to real life data sets to illustrate flexibility.
Keywords :
Weibull distribution , Odd Burr-III distribution , Family of distributions , Stochastic Order , Maximum likelihood Estimation
Journal title :
Journal of Statistical Modelling: Theory and Applications (JSMTA)
Serial Year :
2021
Record number :
2714897
Link To Document :
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