Abstract
This research paper aims to find the estimated values closest to the true values of the reliability function
under lower record values and to know how to obtain these estimated values using point estimation methods
or interval estimation methods. This helps researchers later in obtaining values of the reliability function in
theory and then applying them to reality which makes it easier for the researcher to access the missing data
for long periods such as weather. We evaluated the stress–strength model of reliability based on point and
interval estimation for reliability under lower records by using Odd Generalize Exponential–Exponential
distribution (OGEE) which has an important role in the lifetime of data. After that, we compared the
estimated values of reliability with the real values of it. We analyzed the data obtained by the simulation
method and the real data in order to reach certain results. The Numerical results for estimated values of
reliability supported with graphical illustrations. The results of both simulated data and real data gave us the
same coverage.
Keywords
References
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