Parameters estimation for mixed weibull distribution1- Choose an estimation model such as MLE, EM, or any other model and explain it.2- Optimize that estimation model using some optimization algorithms such as ABC algorithm, newton-raphson, stochastic algorithm,…..etc, or you can use a built in optimized algorithm in R, Matlab, and Python. Explain the method and how it can implemented3- Generate a numerical data and use the mixed weibull distribution with your new method to have the result of each parameter and check its accuracy using RMSE and AIC. Compare your results with different methods such as MOM, EM, and MLE.4- Do the same with given real-life case belowNote: The accuracy of the proposed method must be higher than the existing methods. I’m also gonna need a Word file explaining the whole assignment with the resultsImportant Info
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