In this paper we proposed a two-parameter power Amarendra distribution which includes Amarendra distribution as particular case. Its statistical properties including behavior of its probability density function for varying values of parameters, moments, hazard rate function, mean residual life function and stochastic ordering has been discussed. The estimation of the parameters of the distribution has been discussed using maximum likelihood estimation. Applications of the distribution have been investigated using real lifetime datasets from engineering and biomedical sciences.
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Shanker et al. (2024) studied this question.
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