Properties and Maximum Likelihood Estimation of the Novel Mixture of Fréchet Distribution

In recent decades, there have been numerous endeavors to develop a novel category of survival distributions possessing enhanced flexibility through the extension existing distributions. This article constructs and validates statistical properties distribution in order obtain an alternative that is suitable for analyzing data by presenting mixture Fréchet along with such as probability density function (PDF), cumulative (CDF), rth ordinary moment, skewness, kurtosis, moment-generating function, mean, variance, mode, hazard asymptotic behavior, well constructing estimators unknown parameter employing expectation-maximization (EM) algorithm, simulated annealing. Additionally, performance proposed was compared bias, mean squared errors (MSE), variances, given illustrative example set show appropriate right-skewed data. will be extremely advantageous analysis.