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In many problems of life-testing, the test process may require an unacceptable long time period for its completion, if the test is simply carried out under specified standard stress conditions. In such problem, It is generally possible to run the life test under higher stresses than the specified standard, in order to accelerate life-testing. In this article, a cumulative exposure model description under Frechet distribution is introduced. In addition, “the maximum likelihood method” is used to obtain the estimators of the unknown parameters from Frechet distribution, with respect to a cumulative exposure model under data Type II censoring. The performance of the findings in the article is showed by demonstrating some numerical illustrations through Monte Carlo simulation. Finally, tables to illustrate all the discussed inference methods are presented. Keywords:

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