Title of article
The gamma odd power generalized Weibull-G family of distributions with applications
Author/Authors
Morongwa, Gabanakgosi Department of Mathematics and Statistical Sciences - BIUST - Palapye, BW , Thatayaone, Moakofi Department of Mathematics and Statistical Sciences - BIUST - Palapye, BW , Broderick, Oluyede Department of Mathematics and Statistical Sciences - BIUST - Palapye, BW , Boikanyo, Makubate Department of Mathematics and Statistical Sciences - BIUST - Palapye, BW
Pages
23
From page
79
To page
101
Abstract
A new generalized distribution called the gamma odd power generalized
Weibull-G family of distributions is developed and studied. Some special models of
the new family of distribution are explored. Statistical properties of the new family of
distributions including the quantile function, ordinary and incomplete moments, probability
weighted moments, stochastic ordering, distribution of the order statistics, and
Rényi entropy are presented. The maximum likelihood method is used for estimating
model parameters, and Monte Carlo simulation is conducted to examine the performance
of the model. The flexibility of the new family of distributions is demonstrated
by means of two applications to real data sets.
Keywords
Generalized distribution , Maximum likelihood estimation , Power generalized Weibull distribution
Journal title
Journal of Statistical Modelling: Theory and Applications (JSMTA)
Serial Year
2021
Record number
2714895
Link To Document