Computational Analysis for Fréchet Parameters of Life from Generalized Type-II Progressive Hybrid Censored Data with Applications in Physics and Engineering

Generalized progressive hybrid censored procedures are created to reduce test time and expenses. This paper investigates the issue of estimating model parameters, reliability, hazard rate functions Fréchet (Fr) distribution under generalized Type-II censoring by making use Bayesian estimation maximum likelihood methods. The appropriate estimated confidence intervals unknown quantities likewise built using frequentist estimators’ normal approximations. estimators independent gamma conjugate priors symmetrical squared-error loss. associated greatest posterior density cannot be computed analytically since joint function is obtained in complex form, but they may assessed Monte Carlo Markov chain (MCMC) techniques. Via extensive simulations, actual behavior proposed methodologies evaluated. Four optimality criteria used choose best scheme out all options. To demonstrate how suggested approaches utilized real scenarios, two applications reflecting thirty successive values precipitation Minneapolis–Saint Paul for month March as well number vehicle fatalities thirty-nine counties South Carolina during 2012 examined.