Marshall Olkin Alpha Power Extended Weibull Distribution: Different Methods of Estimation based on Type I and Type II Censoring

In this paper, we insert and study a novel five-parameter extended Weibull distribution denominated as the Marshall–Olkin alpha power (MOAPEW) distribution. This distribution's statistical properties are discussed. Maximum likelihood estimations (MLE), maximum product spacing (MPS), Bayesian estimation for MOAPEW parameters obtained using Type I II censored samples. A numerical analysis Monte-Carlo simulation real data sets realized to compare various methods. The supremacy of model upon some famous distributions is explicated different datasets it appears achieves good fit these applications.