Estimation of parameters of Kumaraswamy-Exponential distribution under progressive type-II censoring

ABSTRACT

In this paper, the problem of estimating unknown parameters of a two-parameter Kumaraswamy-Exponential (Kw-E) distribution is considered based on progressively type-II censored sample. The maximum likelihood (ML) estimators of the parameters are obtained. Bayes estimates are also obtained using different loss functions such as squared error, LINEX and general entropy. Lindley's approximation method is used to evaluate these Bayes estimates. Monte Carlo simulation is used for numerical comparison between various estimates developed in this paper.

KEYWORDS:

• Bayes estimates
• Lindley approximation
• maximum likelihood estimates
• progressive type-II censoring

Disclosure statement

No potential conflict of interest was reported by the authors.