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.
Gabanakgosi, M., Moakofi, T., Oluyede, B., & Makubate, B. (2021). The gamma odd power generalized Weibull-G family of distributions with applications. Journal of Statistical Modelling: Theory and Applications, 2(2), 79-101. doi: 10.22034/jsmta.2021.2708
MLA
Morongwa Gabanakgosi; Thatayaone Moakofi; Broderick Oluyede; Boikanyo Makubate. "The gamma odd power generalized Weibull-G family of distributions with applications", Journal of Statistical Modelling: Theory and Applications, 2, 2, 2021, 79-101. doi: 10.22034/jsmta.2021.2708
HARVARD
Gabanakgosi, M., Moakofi, T., Oluyede, B., Makubate, B. (2021). 'The gamma odd power generalized Weibull-G family of distributions with applications', Journal of Statistical Modelling: Theory and Applications, 2(2), pp. 79-101. doi: 10.22034/jsmta.2021.2708
VANCOUVER
Gabanakgosi, M., Moakofi, T., Oluyede, B., Makubate, B. The gamma odd power generalized Weibull-G family of distributions with applications. Journal of Statistical Modelling: Theory and Applications, 2021; 2(2): 79-101. doi: 10.22034/jsmta.2021.2708
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