Abstract
A generalization of a distribution increases the flexibility particularly in studying of a phenomenon and its properties. Many generalizations of continuous univariate distributions are available in literature. In this study, an investigation is conducted on a distribution and its generalization. Several available generalizations of the distribution are reviewed and recent trends in the construction of generalized classes with a generalized mixing parameter are discussed. To check the suitability and comparability, real data set have been used.
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Singh, B. P., Singh, S., & Das, U. D. (2021). A general class of new continuous mixture distribution and application. Journal of Mathematical and Computational Science, 11(1), 585–602. https://doi.org/10.28919/jmcs/5227
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