Statistical Evaluations and Applications for IER Parameters from Generalized Progressively Type-II Hybrid Censored Data

Generalized progressively Type-II hybrid strategy has been suggested to save both the duration and cost of a life test when experimenter aims score fixed number failed units. In this paper, using mechanism, maximum likelihood Bayes inferential problems for unknown model parameters, in addition reliability, hazard functions inverted exponentiated Rayleigh model, are acquired. Applying observed Fisher data delta method, normality characteristic classical estimates is taken into account derive confidence intervals parameters several indice functions. Bayes’ viewpoint, through independent gamma priors against symmetrical asymmetrical loss functions, estimators quantities developed. Because acquired complicated forms, Monte-Carlo Markov-chain technique offered carry out as well create related highest posterior density interval estimates. The precise behavior estimation approaches assessed wide Monte Carlo simulation experiments. Two actual applications based on sets from mechanical chemical domains examined show how methodologies may be used real current events.