This study uses the adaptive Type-II progressively censored competing risks model to
estimate the unknown parameters and the survival function of the Gompertz distribution …

The statistical inference under competing risks model is of great significance in reliability
analysis and it is more practical to assume that they have dependent competing causes of …

In this paper, we consider the problems of estimating the unknown parameters as well as
predicting the failure times of the removed units in multiple stages of the progressively …

In the reliability theory and life testing experiments, the Maxwell distribution has established
a useful lifetime model due to its increasing failure rate property. To save time and money …

This article includes the problem of Bayesian and non-Bayesian estimation of parameters of
the log-logistic lifetime model under adaptive progressive type-II censoring. The classical …

ABSTRACT The Moore-Bilikam distribution is convenient for survival analysis. The
estimation of its parameters and its reliability function is performed by maximum likelihood …

This study focuses on the estimation of the two unknown parameters of Chen distribution,
characterized by a bathtub-shaped hazard rate function, within an improved adaptive type-II …

In recent life-testing experiments, Progressive Type-II (PT2) censoring has been used by
several researchers in various problems. However, one drawback of PT2 is that the length of …

This article covers the issue of evaluating the two shape parameters and reliability metrics of
a novel Kumaraswamy-exponential lifetime distribution, whose density exhibits a left …

The topic of estimating the parameters of Gompertz distribution using an adaptive Type‐II
progressively censored data are described in this paper. The unknown parameters, the …