الفهرس 
Estimation of the parameters of the bivariate kumaraswamy lifetime distribution under censoring
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Abstract
Bivariate lifetime distributions are of great importance in reliability engineering. To understand and analyze the failure time of two variables interacting together, bivari- ate distributions is a must. Several bivariate families were constructed. Bivariate Marshll-Olkin family takes into consideration all di{uFB00}erent scenarios of the random variables (i.e. the {uFB01}rst random variable is smaller, greater or equal to the second random variable). Here, the likelihood function of progressive type I censoring is derived for the bivaraite Marshall-Olkin family in general, and then applied on the bivariate Ku- maraswamy lifetime distribution. Type I censoring and random censoring is applied on the bivariate Kumaraswamy lifetime distribution. Simulation study and an il- lustrative example are performed to investigate the performance of the likelihood functions